2023 |
Flor-Sánchez, Carlos O; Reséndiz-Flores, Edgar O; García-Calvillo, Irma D Kernel-based hybrid multi-objective optimization algorithm (KHMO) Journal Article Information Sciences, 624 , pp. 416-434, 2023, ISSN: 0020-0255. Abstract | Links | BibTeX | Etiquetas: Hybrid multi-objective evolutionary algorithm, Kernel-based gradient, Memetic algorithms, Multi-objective optimization, Pareto searching direction @article{InformationSciences, title = {Kernel-based hybrid multi-objective optimization algorithm (KHMO)}, author = {Carlos O. Flor-Sánchez and Edgar O. Reséndiz-Flores and Irma D. García-Calvillo}, url = {https://www.sciencedirect.com/science/article/pii/S0020025522015900}, doi = {https://doi.org/10.1016/j.ins.2022.12.095}, issn = {0020-0255}, year = {2023}, date = {2023-01-06}, journal = {Information Sciences}, volume = {624}, pages = {416-434}, abstract = {A new hybrid evolutionary algorithm named Kernel-based Hybrid Multi-Objective Optimization Algorithm (KHMO) is introduced in this work. The main novelty of this algorithm is its updating rule based on the concept of a reproducing kernel in order to properly approximate the numerical gradient. In addition, a novel numerical strategy based on the computation of a normal vector to determine a searching target direction that guides the nondominanted solutions into more propitious regions is also introduced for the first time. IGD and HV metrics are used to evaluate the performance of KHMO algorithm against other competitive multi-objective methods such as MRBFO, FDEA-I, VMEF, BiasMOSaDE and GAMODE tested on ZDT and CEC 2009 problems. Moreover, the Wilcoxon test is carried out as a comparative statistical analysis in order to detect if a significant difference exists with respect to the rest of the algorithms. The corresponding numerical results showed that the introduced KHMO algorithm gains the best overall performance among all the compared algorithms in terms of diversity, coverage and convergence in most problems. Moreover, IGD and HV curves reveal a respectable convergence rate since nearly 200 iterations are enough to offer quality solutions.}, keywords = {Hybrid multi-objective evolutionary algorithm, Kernel-based gradient, Memetic algorithms, Multi-objective optimization, Pareto searching direction}, pubstate = {published}, tppubtype = {article} } A new hybrid evolutionary algorithm named Kernel-based Hybrid Multi-Objective Optimization Algorithm (KHMO) is introduced in this work. The main novelty of this algorithm is its updating rule based on the concept of a reproducing kernel in order to properly approximate the numerical gradient. In addition, a novel numerical strategy based on the computation of a normal vector to determine a searching target direction that guides the nondominanted solutions into more propitious regions is also introduced for the first time. IGD and HV metrics are used to evaluate the performance of KHMO algorithm against other competitive multi-objective methods such as MRBFO, FDEA-I, VMEF, BiasMOSaDE and GAMODE tested on ZDT and CEC 2009 problems. Moreover, the Wilcoxon test is carried out as a comparative statistical analysis in order to detect if a significant difference exists with respect to the rest of the algorithms. The corresponding numerical results showed that the introduced KHMO algorithm gains the best overall performance among all the compared algorithms in terms of diversity, coverage and convergence in most problems. Moreover, IGD and HV curves reveal a respectable convergence rate since nearly 200 iterations are enough to offer quality solutions. |
2022 |
Aboytes-Ojeda, Mario; Castillo-Villar, Krystel K; Cardona-Valdés, Yajaira Bi-objective stochastic model for the design of biofuel supply chains incorporating risk Journal Article Expert Systems with Applications, 202 (117-285), pp. 117-285, 2022, ISSN: 0957-4174. Abstract | Links | BibTeX | Etiquetas: Bioenergy, Biofuels, Biomass, Conditional value at risk, Energy, Risk-averse, Stochastic optimization, Supply chain @article{S0957417422006522, title = {Bi-objective stochastic model for the design of biofuel supply chains incorporating risk}, author = {Mario Aboytes-Ojeda and Krystel K. Castillo-Villar and Yajaira Cardona-Valdés}, url = {https://doi.org/10.1016/j.eswa.2022.117285}, doi = {10.1016/j.eswa.2022.117285}, issn = {0957-4174}, year = {2022}, date = {2022-08-01}, journal = {Expert Systems with Applications}, volume = {202}, number = {117-285}, pages = {117-285}, abstract = {The design of a biofuel supply chain network involves multiple uncertainty sources such as the biomass supply and quality. Most of the previous works took a risk-neutral approach by modeling this problem as two-stage stochastic formulation. However, most decision makers are not risk-neutral and a better understanding of the risk involved is germane. This study proposes a bi-objective two-stage stochastic optimization model that considers the expected total cost and the CVaR as objective functions. The first stage determines the location of biorefineries, and the second stage decides the flow between suppliers (counties) and biorefineries. We assume as non deterministic two features of switchgrass (biomass), the ash and moisture contents. To solve this problem, a hybrid method based on a Simulated Annealing algorithm and the augmented ε-constraint method is developed and tested using a realistic large-scale case study in the state of Texas. Based on the experimental results, we observe that the CVaR is not a suitable risk measure when the problem involves a third party because the cost of third-party does not imply risk for the decision makers (biorefinery owner). Therefore, the PVaR model is more suitable for the nature of this problem since PVaR includes the risk inherent to the third party in case this entity is not able to fulfill the demand of biofuel not covered by the supply chain network. As a result, we reformulate the original model by replacing the CVaR by PVaR to create a tailor-made formulation for the bi-objective two-stage stochastic programming problem including third party biofuel suppliers. Compared to existing solution procedures, the proposed hybrid method has merits in terms of computational burden and solution quality. Computational experiments show that the lower the confidence level in the third party (that is, a less reliable supplier needed to meet the bioethanol demand), the higher the expected costs and the PVaR (risk) for the supply chain design.}, keywords = {Bioenergy, Biofuels, Biomass, Conditional value at risk, Energy, Risk-averse, Stochastic optimization, Supply chain}, pubstate = {published}, tppubtype = {article} } The design of a biofuel supply chain network involves multiple uncertainty sources such as the biomass supply and quality. Most of the previous works took a risk-neutral approach by modeling this problem as two-stage stochastic formulation. However, most decision makers are not risk-neutral and a better understanding of the risk involved is germane. This study proposes a bi-objective two-stage stochastic optimization model that considers the expected total cost and the CVaR as objective functions. The first stage determines the location of biorefineries, and the second stage decides the flow between suppliers (counties) and biorefineries. We assume as non deterministic two features of switchgrass (biomass), the ash and moisture contents. To solve this problem, a hybrid method based on a Simulated Annealing algorithm and the augmented ε-constraint method is developed and tested using a realistic large-scale case study in the state of Texas. Based on the experimental results, we observe that the CVaR is not a suitable risk measure when the problem involves a third party because the cost of third-party does not imply risk for the decision makers (biorefinery owner). Therefore, the PVaR model is more suitable for the nature of this problem since PVaR includes the risk inherent to the third party in case this entity is not able to fulfill the demand of biofuel not covered by the supply chain network. As a result, we reformulate the original model by replacing the CVaR by PVaR to create a tailor-made formulation for the bi-objective two-stage stochastic programming problem including third party biofuel suppliers. Compared to existing solution procedures, the proposed hybrid method has merits in terms of computational burden and solution quality. Computational experiments show that the lower the confidence level in the third party (that is, a less reliable supplier needed to meet the bioethanol demand), the higher the expected costs and the PVaR (risk) for the supply chain design. |
Flores-Carballo, Carlos R; Molina-Arenas, Gabriel A; Macias, Adrian; Caro, Karina; Beltran, Jessica; Castro, Luis A Speaker Identification in Interactions between Mothers and Children with Down Syndrome via Audio Analysis: A Case Study in Mexico Journal Article pp. 1-16, 2022. Links | BibTeX | Etiquetas: Identification in Interactions @article{tandf_hihc20AxA_1, title = {Speaker Identification in Interactions between Mothers and Children with Down Syndrome via Audio Analysis: A Case Study in Mexico}, author = {Carlos R. Flores-Carballo and Gabriel A. Molina-Arenas and Adrian Macias and Karina Caro and Jessica Beltran and Luis A. Castro}, url = {https://doi.org/10.1080/10447318.2022.2090610}, doi = {10.1080/10447318.2022.2090610}, year = {2022}, date = {2022-08-01}, pages = {1-16}, keywords = {Identification in Interactions}, pubstate = {published}, tppubtype = {article} } |
Navarro-Acosta J.A., García-Calvillo & Reséndiz-Flores I D Fault detection based on squirrel search algorithm and support vector data description for industrial processes Journal Article 2022, ISSN: 1433-7479. Abstract | Links | BibTeX | Etiquetas: Support Vector Data Description Squirrel Search Algorithm Fault detection One-class classification @article{10.1007_s00500-022-07337-9-citation, title = {Fault detection based on squirrel search algorithm and support vector data description for industrial processes}, author = {Navarro-Acosta, J.A., García-Calvillo, I.D. & Reséndiz-Flores}, url = {https://doi.org/10.1007/s00500-022-07337-9}, doi = {10.1007/s00500-022-07337-9}, issn = {1433-7479}, year = {2022}, date = {2022-07-22}, abstract = {This paper proposes a novel fault detection system by the combination of Support Vector Data Description and Squirrel Search Algorithm. This approach is capable to deal with processes or machines where the number of fault observations is small or not even available for training phase. In this work the use of classic Support Vector Data Description as well as its fast version with two kernel functions is proposed. The experimental results showed that the proposed system exhibits suitable capabilities for fault detection in complex industrial processes such as the one presented in this research. Moreover, a nonparametric statistical analysis is also included in order to compare the considered strategies and enhance the efficiency of the presented approach. Finally, a comparison with genetic algorithm approach and the one-class classifier based on support vectors is carried out which shows that the proposed algorithm outperforms traditional techniques.}, keywords = {Support Vector Data Description Squirrel Search Algorithm Fault detection One-class classification}, pubstate = {published}, tppubtype = {article} } This paper proposes a novel fault detection system by the combination of Support Vector Data Description and Squirrel Search Algorithm. This approach is capable to deal with processes or machines where the number of fault observations is small or not even available for training phase. In this work the use of classic Support Vector Data Description as well as its fast version with two kernel functions is proposed. The experimental results showed that the proposed system exhibits suitable capabilities for fault detection in complex industrial processes such as the one presented in this research. Moreover, a nonparametric statistical analysis is also included in order to compare the considered strategies and enhance the efficiency of the presented approach. Finally, a comparison with genetic algorithm approach and the one-class classifier based on support vectors is carried out which shows that the proposed algorithm outperforms traditional techniques. |
Saucedo-Zendejo F.R., Reséndiz-Flores Meshfree numerical approach based on the finite pointset method for two-way coupled transient linear thermoelasticity Journal Article 2022, ISSN: 2196-4386. Abstract | Links | BibTeX | Etiquetas: Meshfree method Transient two-way coupled linear thermoelasticity Finite pointset method @article{10.1007_s40571-022-00496-4-citation, title = {Meshfree numerical approach based on the finite pointset method for two-way coupled transient linear thermoelasticity}, author = {Saucedo-Zendejo, F.R., Reséndiz-Flores}, url = {https://doi.org/10.1007/s40571-022-00496-4}, doi = {10.1007/s40571-022-00496-4}, issn = {2196-4386}, year = {2022}, date = {2022-06-19}, abstract = {A new formulation based on a real meshfree approach is presented for the first time in the field of transient linear thermoelasticity. The finite pointset method, a strong form meshfree method, is applied to discretize in space the partial differential equations modeling two-way coupled transient linear thermoelasticity while one-order implicit Euler scheme is used for time scale. The corresponding two-way coupled discretization is presented in detail and a typical benchmark problem where transient thermal and pressure shocks are numerically compared with other well-known methods. The studied physical configuration is also applied to a complex geometry in 2D where the obtained numerical results show an excellent behavior in comparison with the finite element method. The obtained results lead to the conclusion that the proposed meshless approach is a promising tool for non-stationary and coupled thermoelastic problems.}, keywords = {Meshfree method Transient two-way coupled linear thermoelasticity Finite pointset method}, pubstate = {published}, tppubtype = {article} } A new formulation based on a real meshfree approach is presented for the first time in the field of transient linear thermoelasticity. The finite pointset method, a strong form meshfree method, is applied to discretize in space the partial differential equations modeling two-way coupled transient linear thermoelasticity while one-order implicit Euler scheme is used for time scale. The corresponding two-way coupled discretization is presented in detail and a typical benchmark problem where transient thermal and pressure shocks are numerically compared with other well-known methods. The studied physical configuration is also applied to a complex geometry in 2D where the obtained numerical results show an excellent behavior in comparison with the finite element method. The obtained results lead to the conclusion that the proposed meshless approach is a promising tool for non-stationary and coupled thermoelastic problems. |
Gian Italo Bischi Francesca Grassetti, Edgar Sanchez Carrera J On the economic growth equilibria during the Covid-19 pandemic Journal Article Communications in Nonlinear Science and Numerical Simulation, pp. 36, 2022, ISSN: 1007-5704. Abstract | Links | BibTeX | Etiquetas: Economic growth modelling, Growth traps, Labor force, Pandemics @article{BISCHI2022106573, title = {On the economic growth equilibria during the Covid-19 pandemic}, author = {Gian Italo Bischi, Francesca Grassetti, Edgar J. Sanchez Carrera}, url = {https://www.sciencedirect.com/science/article/pii/S1007570422001836}, doi = {106573}, issn = {1007-5704}, year = {2022}, date = {2022-05-11}, journal = {Communications in Nonlinear Science and Numerical Simulation}, pages = {36}, abstract = {The aim of this paper is to study the effects of the Covid-19 pandemic suppression policies (i.e. containment measures or lockdowns) on labor supply, capital accumulation, and so the economic growth. We merge an epidemic SIS population model and a Solow’s type growth model, i.e. we propose a fusion between economics and epidemiology. We show the creation and the destruction of economic growth equilibria driven by the suppression policies and by the severity of the disease. The dynamic stability properties of the equilibria are mainly determined by (i) the stringency of the suppression policies, (ii) the proportion of infected workers, (iii) the recovery rate of workers, and (iv) the economy’s saving rate. Thus, economies can fall into the stable equilibrium of the poverty trap if the propensity to save is low and the economic policies that reduce the spread of infection are severe enough with high levels of infection and low rates of illness recovery. Otherwise, with high savings rates and if the suppression policies perform in such a way that infection levels are low and recovery rates are high, then the economies converge towards the equilibrium of high economic growth with capital accumulation. The scenario is rather complex since there is a multiplicity of equilibria such that economies can be in one scenario or another, characterized by stability or (structural) instability, i.e. bifurcation paths. Numerical simulations corroborate our results. Keywords: Economic growth modelling; Growth traps; Labor force; Pandemics}, keywords = {Economic growth modelling, Growth traps, Labor force, Pandemics}, pubstate = {published}, tppubtype = {article} } The aim of this paper is to study the effects of the Covid-19 pandemic suppression policies (i.e. containment measures or lockdowns) on labor supply, capital accumulation, and so the economic growth. We merge an epidemic SIS population model and a Solow’s type growth model, i.e. we propose a fusion between economics and epidemiology. We show the creation and the destruction of economic growth equilibria driven by the suppression policies and by the severity of the disease. The dynamic stability properties of the equilibria are mainly determined by (i) the stringency of the suppression policies, (ii) the proportion of infected workers, (iii) the recovery rate of workers, and (iv) the economy’s saving rate. Thus, economies can fall into the stable equilibrium of the poverty trap if the propensity to save is low and the economic policies that reduce the spread of infection are severe enough with high levels of infection and low rates of illness recovery. Otherwise, with high savings rates and if the suppression policies perform in such a way that infection levels are low and recovery rates are high, then the economies converge towards the equilibrium of high economic growth with capital accumulation. The scenario is rather complex since there is a multiplicity of equilibria such that economies can be in one scenario or another, characterized by stability or (structural) instability, i.e. bifurcation paths. Numerical simulations corroborate our results. Keywords: Economic growth modelling; Growth traps; Labor force; Pandemics |
Saucedo-Zendejo, Felix R A novel meshfree approach based on the finite pointset method for linear elasticity problems Journal Article Engineering Analysis with Boundary Elements, 136 (0), pp. 172-185, 2022, ISSN: 0955-7997. Abstract | Links | BibTeX | Etiquetas: Finite pointset method, Meshless method, Navier–Cauchy equations, Solid mechanics @article{0955-7997, title = {A novel meshfree approach based on the finite pointset method for linear elasticity problems}, author = {Felix R. Saucedo-Zendejo}, url = {https://doi.org/10.1016/j.enganabound.2021.12.011 https://www.sciencedirect.com/science/article/pii/S0955799721003647}, doi = {10.1016/j.enganabound.2021.12.011}, issn = {0955-7997}, year = {2022}, date = {2022-03-01}, journal = {Engineering Analysis with Boundary Elements}, volume = {136}, number = {0}, pages = {172-185}, abstract = {In this work a promising novel meshfree numerical formulation with improved accuracy based on the finite pointset method (FPM) is reported and implemented for the first time for linear elasticity problems. This truly meshfree approach is applied in order to solve the governing partial differential equations, the Navier–Cauchy equations. The numerical results of some 2D and 3D classical and well-known benchmark examples using this formulation are reported and compared with a previous FPM formulation which demonstrate the improvement in accuracy, and finally, the numerical solution of a three-dimensional realistic example is reported which suggest that the presented FPM approach is promising and feasible for this kind of problems in solid mechanics.}, keywords = {Finite pointset method, Meshless method, Navier–Cauchy equations, Solid mechanics}, pubstate = {published}, tppubtype = {article} } In this work a promising novel meshfree numerical formulation with improved accuracy based on the finite pointset method (FPM) is reported and implemented for the first time for linear elasticity problems. This truly meshfree approach is applied in order to solve the governing partial differential equations, the Navier–Cauchy equations. The numerical results of some 2D and 3D classical and well-known benchmark examples using this formulation are reported and compared with a previous FPM formulation which demonstrate the improvement in accuracy, and finally, the numerical solution of a three-dimensional realistic example is reported which suggest that the presented FPM approach is promising and feasible for this kind of problems in solid mechanics. |
Saucedo-Zendejo, Felix R A novel meshfree approach based on the finite pointset method for linear elasticity problems Journal Article Engineering Analysis with Boundary Elements, 136 , pp. 172-185, 2022, ISBN: 0955-7997. Abstract | Links | BibTeX | Etiquetas: Finite pointset method, Meshless method, Navier–Cauchy equations, Solid mechanics @article{S0955799721003647, title = {A novel meshfree approach based on the finite pointset method for linear elasticity problems}, author = {Felix R. Saucedo-Zendejo}, url = {https://www.sciencedirect.com/science/article/pii/S0955799721003647}, doi = {10.1016}, isbn = {0955-7997}, year = {2022}, date = {2022-03-01}, journal = {Engineering Analysis with Boundary Elements}, volume = {136}, pages = {172-185}, abstract = {In this work a promising novel meshfree numerical formulation with improved accuracy based on the finite pointset method (FPM) is reported and implemented for the first time for linear elasticity problems. This truly meshfree approach is applied in order to solve the governing partial differential equations, the Navier–Cauchy equations. The numerical results of some 2D and 3D classical and well-known benchmark examples using this formulation are reported and compared with a previous FPM formulation which demonstrate the improvement in accuracy, and finally, the numerical solution of a three-dimensional realistic example is reported which suggest that the presented FPM approach is promising and feasible for this kind of problems in solid mechanics.}, keywords = {Finite pointset method, Meshless method, Navier–Cauchy equations, Solid mechanics}, pubstate = {published}, tppubtype = {article} } In this work a promising novel meshfree numerical formulation with improved accuracy based on the finite pointset method (FPM) is reported and implemented for the first time for linear elasticity problems. This truly meshfree approach is applied in order to solve the governing partial differential equations, the Navier–Cauchy equations. The numerical results of some 2D and 3D classical and well-known benchmark examples using this formulation are reported and compared with a previous FPM formulation which demonstrate the improvement in accuracy, and finally, the numerical solution of a three-dimensional realistic example is reported which suggest that the presented FPM approach is promising and feasible for this kind of problems in solid mechanics. |
Vanesa Avalos Gaytan Irma Delia Garcia Calvillo, Edgar Sanchez Carrera J No-linealidades entre el bienestar y la calidad-efectividad de las políticas públicas en México Journal Article Equilibrio Económico, 18 (53), 2022, ISSN: 2007-2627. Abstract | BibTeX | Etiquetas: Dinámica evolutiva, Macroeconomía del comportamiento, Políticas de bienestar, Políticas económicas mexicanas @article{2007-2627, title = {No-linealidades entre el bienestar y la calidad-efectividad de las políticas públicas en México}, author = {Vanesa Avalos Gaytan, Irma Delia Garcia Calvillo, Edgar J. Sanchez Carrera}, issn = {2007-2627}, year = {2022}, date = {2022-02-17}, journal = {Equilibrio Económico}, volume = {18}, number = {53}, abstract = {Este artículo de investigación desarrolla y propone un modelo dinámico evolutivo no-lineal para evaluar el impacto de los niveles de bienestar en políticas económicas tanto eficientes como ineficientes a largo plazo. Las estimaciones de mínimos cuadrados no-lineales y de coeficientes funcionales respaldan nuestros resultados de no-linealidad entre el bienestar y las políticas gubernamentales, para el caso mexicano, para el periodo 1996-2020. Concluimos que, en una economía, es fundamental aumentar los niveles de bienestar de sus ciudadanos para evitar la implementación de políticas económicas ineficientes.}, keywords = {Dinámica evolutiva, Macroeconomía del comportamiento, Políticas de bienestar, Políticas económicas mexicanas}, pubstate = {published}, tppubtype = {article} } Este artículo de investigación desarrolla y propone un modelo dinámico evolutivo no-lineal para evaluar el impacto de los niveles de bienestar en políticas económicas tanto eficientes como ineficientes a largo plazo. Las estimaciones de mínimos cuadrados no-lineales y de coeficientes funcionales respaldan nuestros resultados de no-linealidad entre el bienestar y las políticas gubernamentales, para el caso mexicano, para el periodo 1996-2020. Concluimos que, en una economía, es fundamental aumentar los niveles de bienestar de sus ciudadanos para evitar la implementación de políticas económicas ineficientes. |
Reséndiz-Flores, Edgar O; Navarro-Acosta, Jesús Alejandro; García-Calvillo, Irma D Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes Journal Article International Journal of Computer Integrated Manufacturing, 0 (0), pp. 1-9, 2022, ISSN: 0951-192X. Abstract | Links | BibTeX | Etiquetas: Fault classification, Kernel Mahalanobis distance, Manufacturing Processes, Variable identification @article{0951-192X, title = {Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes}, author = {Edgar O. Reséndiz-Flores and Jesús Alejandro Navarro-Acosta and Irma D. García-Calvillo}, url = {https://doi.org/10.1080/0951192X.2022.2027019}, doi = {10.1080/0951192X.2022.2027019}, issn = {0951-192X}, year = {2022}, date = {2022-01-27}, journal = {International Journal of Computer Integrated Manufacturing}, volume = {0}, number = {0}, pages = {1-9}, abstract = {The development of a new methodology for the accurate fault detection considering only those really important features of practical impact is the main motivation of this work. Therefore, the Kernel-based Mahalanobis-Taguchi System as a pre-classification stage followed by a binary particle swarm optimization procedure is introduced in this work in order to identify variables of impact by means of a feature screening in an optimal manner for industrial manufacturing processes. In order to study the practical efficiency of the presented approach, a computational comparison between the introduced approach and the standard Mahalanobis-Taguchi System is reported. Furthermore to test the relevance of the selected features by the proposed fault diagnosis approach, the sequential feature selection (SFS) and Random Forest (RF) algorithms are implemented and five experiments were carried out training a total of 15 machine learning algorithms. The presented approach is applied to foam injection and welding processes from the manufacturing automotive industry showing that the presented approach can achieve betters accuracy values for fault detection by selecting a small subset of features than the other presented feature selection techniques.}, keywords = {Fault classification, Kernel Mahalanobis distance, Manufacturing Processes, Variable identification}, pubstate = {published}, tppubtype = {article} } The development of a new methodology for the accurate fault detection considering only those really important features of practical impact is the main motivation of this work. Therefore, the Kernel-based Mahalanobis-Taguchi System as a pre-classification stage followed by a binary particle swarm optimization procedure is introduced in this work in order to identify variables of impact by means of a feature screening in an optimal manner for industrial manufacturing processes. In order to study the practical efficiency of the presented approach, a computational comparison between the introduced approach and the standard Mahalanobis-Taguchi System is reported. Furthermore to test the relevance of the selected features by the proposed fault diagnosis approach, the sequential feature selection (SFS) and Random Forest (RF) algorithms are implemented and five experiments were carried out training a total of 15 machine learning algorithms. The presented approach is applied to foam injection and welding processes from the manufacturing automotive industry showing that the presented approach can achieve betters accuracy values for fault detection by selecting a small subset of features than the other presented feature selection techniques. |
Reséndiz-Flores, Edgar O; Navarro-Acosta, Jesús Alejandro; García-Calvillo, Irma D Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes Journal Article International Journal of Computer Integrated Manufacturing, 35 (9), pp. 942-950, 2022, ISSN: 0951-192X. Abstract | Links | BibTeX | Etiquetas: Fault classification, Kernel Mahalanobis distance, Manufacturing Processes, Variable identification @article{10.1080/0951192X.2022.2027019, title = {Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes}, author = {Edgar O. Reséndiz-Flores and Jesús Alejandro Navarro-Acosta and Irma D. García-Calvillo}, url = {https://doi.org/10.1080/0951192X.2022.2027019}, doi = {10.1080/0951192X.2022.2027019}, issn = {0951-192X}, year = {2022}, date = {2022-01-17}, journal = {International Journal of Computer Integrated Manufacturing}, volume = {35}, number = {9}, pages = {942-950}, abstract = {The development of a new methodology for the accurate fault detection considering only those really important features of practical impact is the main motivation of this work. Therefore, the Kernel-based Mahalanobis-Taguchi System as a pre-classification stage followed by a binary particle swarm optimization procedure is introduced in this work in order to identify variables of impact by means of a feature screening in an optimal manner for industrial manufacturing processes. In order to study the practical efficiency of the presented approach, a computational comparison between the introduced approach and the standard Mahalanobis-Taguchi System is reported. Furthermore to test the relevance of the selected features by the proposed fault diagnosis approach, the sequential feature selection (SFS) and Random Forest (RF) algorithms are implemented and five experiments were carried out training a total of 15 machine learning algorithms. The presented approach is applied to foam injection and welding processes from the manufacturing automotive industry showing that the presented approach can achieve betters accuracy values for fault detection by selecting a small subset of features than the other presented feature selection techniques.}, keywords = {Fault classification, Kernel Mahalanobis distance, Manufacturing Processes, Variable identification}, pubstate = {published}, tppubtype = {article} } The development of a new methodology for the accurate fault detection considering only those really important features of practical impact is the main motivation of this work. Therefore, the Kernel-based Mahalanobis-Taguchi System as a pre-classification stage followed by a binary particle swarm optimization procedure is introduced in this work in order to identify variables of impact by means of a feature screening in an optimal manner for industrial manufacturing processes. In order to study the practical efficiency of the presented approach, a computational comparison between the introduced approach and the standard Mahalanobis-Taguchi System is reported. Furthermore to test the relevance of the selected features by the proposed fault diagnosis approach, the sequential feature selection (SFS) and Random Forest (RF) algorithms are implemented and five experiments were carried out training a total of 15 machine learning algorithms. The presented approach is applied to foam injection and welding processes from the manufacturing automotive industry showing that the presented approach can achieve betters accuracy values for fault detection by selecting a small subset of features than the other presented feature selection techniques. |
2021 |
FR Saucedo Zendejo, Nobrega M A novel approach to model the flow of generalized Newtonian fluids with the finite pointset method. Journal Article Computational Particle Mechanics, 2021, ISSN: 2196-4386. Abstract | Links | BibTeX | Etiquetas: Computational rheology, Finite pointset method, Generalized Newtonian fluids, Polymer processing @article{s40571-021-00432-y, title = {A novel approach to model the flow of generalized Newtonian fluids with the finite pointset method.}, author = {FR, Saucedo Zendejo, M, Nobrega}, url = {https://doi.org/10.1007/s40571-021-00432-y}, doi = {10.1007/s40571-021-00432-y}, issn = {2196-4386}, year = {2021}, date = {2021-09-06}, journal = {Computational Particle Mechanics}, abstract = {Several numerical meshless methods have been proposed to try to solve some of the limitations of traditional mesh-based methods. Among those, the finite pointset method, which has been applied in several physical problems, shows a great potential. This work presents an extension of the available numerical approaches based on the finite pointset method to allow dealing with generalized Newtonian fluids, which possess a high viscosity. The developed finite pointset method solver is verified through the comparison of its predictions with analytical solutions, for simple flows, and with results provided by the well-established and validated open-source computational library OpenFOAM, for more complex cases studies. The excellent results obtained on the verification case studies prove the proper implementation of the new finite pointset method solver.}, keywords = {Computational rheology, Finite pointset method, Generalized Newtonian fluids, Polymer processing}, pubstate = {published}, tppubtype = {article} } Several numerical meshless methods have been proposed to try to solve some of the limitations of traditional mesh-based methods. Among those, the finite pointset method, which has been applied in several physical problems, shows a great potential. This work presents an extension of the available numerical approaches based on the finite pointset method to allow dealing with generalized Newtonian fluids, which possess a high viscosity. The developed finite pointset method solver is verified through the comparison of its predictions with analytical solutions, for simple flows, and with results provided by the well-established and validated open-source computational library OpenFOAM, for more complex cases studies. The excellent results obtained on the verification case studies prove the proper implementation of the new finite pointset method solver. |
verónica Juan Gabriel Brida W. Adrian Risso, Edgar Sánchez Carrera Segarra J Growth and inequality in the Mexican states:Regimes, thresholds, and traps Journal Article Papers in Regional Science, 100 (5), pp. 29, 2021. Abstract | Links | BibTeX | Etiquetas: Economic growth, hierarchical trees, interregional inequality, Mexican economy, regime dynamics @article{1295–1322, title = {Growth and inequality in the Mexican states:Regimes, thresholds, and traps}, author = {Juan Gabriel Brida, W. Adrian Risso, Edgar J. Sánchez Carrera, verónica Segarra }, url = {https://doi.org/10.1111/pirs.12616 https://rsaiconnect.onlinelibrary.wiley.com/doi/abs/10.1111/pirs.12616}, doi = {10.1111}, year = {2021}, date = {2021-05-21}, journal = {Papers in Regional Science}, volume = {100}, number = {5}, pages = {29}, abstract = {Using the inter-regional economic inequality index and thegross state productper capitafor the Mexican states overthe period 1940–2015, we apply regime dynamics and hier-archical cluster analysis for segmenting the sample intoregimes of Mexican states with similar performance. Robusteconometric models are studied showing the direction ofcausality between economic inequality and incomepercapita, and the existence of a U-shaped curve for theinterdependence between economic growth vseconomic inequality, and threshold levels. We additionallydemonstrate the existence of inequality traps. Theeducation literacy rate as a control variable indicates aninverted U-shaped curve.}, keywords = {Economic growth, hierarchical trees, interregional inequality, Mexican economy, regime dynamics}, pubstate = {published}, tppubtype = {article} } Using the inter-regional economic inequality index and thegross state productper capitafor the Mexican states overthe period 1940–2015, we apply regime dynamics and hier-archical cluster analysis for segmenting the sample intoregimes of Mexican states with similar performance. Robusteconometric models are studied showing the direction ofcausality between economic inequality and incomepercapita, and the existence of a U-shaped curve for theinterdependence between economic growth vseconomic inequality, and threshold levels. We additionallydemonstrate the existence of inequality traps. Theeducation literacy rate as a control variable indicates aninverted U-shaped curve. |
Navarro-Acosta J.A., Soto-Mendoza Saucedo-Zendejo Guajardo-Espinoza Rivera-Morales V F R J M Evaluación psicológica de profesores y alumnos mexicanos durante la pandemia de COVID-19 mediante técnicas de Machine learning Journal Article Ingeniería Investigación y Tecnología, 22 (4), pp. 1-15, 2021, ISSN: 2594-0732. Abstract | Links | BibTeX | Etiquetas: classification, machine learning., prediction, Psychometry, validity @article{v22n4-02, title = {Evaluación psicológica de profesores y alumnos mexicanos durante la pandemia de COVID-19 mediante técnicas de Machine learning}, author = {Navarro-Acosta, J.A.,Soto-Mendoza, V.,Saucedo-Zendejo, F.R.,Guajardo-Espinoza, J.M.,Rivera-Morales}, url = {https://doi.org/10.22201/fi.25940732e.2021.22.4.026}, doi = {10.22201}, issn = { 2594-0732}, year = {2021}, date = {2021-04-21}, journal = {Ingeniería Investigación y Tecnología}, volume = {22}, number = {4}, pages = {1-15}, abstract = {This work describes the validation of the results of a psychological test applied to teachers and students in isolation due to the COVID-19 pandemic in the state of Coahuila, Mexico. The objective of this work is to apply machine learning techniques to validate an instrument that measures negative emotions and feelings, as well as cognitive bias or deviation of thinking about education and the pandemic in isolation. For the fulfillment of the objective, an instrument was applied in electronic format that was disseminated in the state of Coahuila, the users respond and the database is generated, which, after its pre-processing, is analyzed using the combination of Random Forest (RF) and Support Vector Machines (SVM); obtaining as a result the relevance or not of some of the items from the tests, thereby giving an internal validity to the instrument. The experimental results show that the proposed methodology is capable of selecting the most relevant predictor variables. In this way, satisfactory results were obtained in the classification and prediction of psychological diagnoses. On the other hand, although the implemented techniques are robust and reliable, they present limitations in terms of the observation of the other types of validity: construct, external, among others; which could limit its use. Although, in the field of psychometry there are various classic strategies, the proposed methodology based on the combination of machine learning techniques for the analysis and validation of this type of tests, favors the growth of options to improve diagnoses and consequently the treatment of psychological ailments.}, keywords = {classification, machine learning., prediction, Psychometry, validity}, pubstate = {published}, tppubtype = {article} } This work describes the validation of the results of a psychological test applied to teachers and students in isolation due to the COVID-19 pandemic in the state of Coahuila, Mexico. The objective of this work is to apply machine learning techniques to validate an instrument that measures negative emotions and feelings, as well as cognitive bias or deviation of thinking about education and the pandemic in isolation. For the fulfillment of the objective, an instrument was applied in electronic format that was disseminated in the state of Coahuila, the users respond and the database is generated, which, after its pre-processing, is analyzed using the combination of Random Forest (RF) and Support Vector Machines (SVM); obtaining as a result the relevance or not of some of the items from the tests, thereby giving an internal validity to the instrument. The experimental results show that the proposed methodology is capable of selecting the most relevant predictor variables. In this way, satisfactory results were obtained in the classification and prediction of psychological diagnoses. On the other hand, although the implemented techniques are robust and reliable, they present limitations in terms of the observation of the other types of validity: construct, external, among others; which could limit its use. Although, in the field of psychometry there are various classic strategies, the proposed methodology based on the combination of machine learning techniques for the analysis and validation of this type of tests, favors the growth of options to improve diagnoses and consequently the treatment of psychological ailments. |
Resendiz Flores FR, Saucedo Zendejo AV Jimenez Villalpando Fully coupled meshfree numerical approach based on the finite pointset method for static linear thermoelasticity problems Journal Article Computational Particle Mechanics, pp. 14, 2021, ISSN: 2196-4386. Abstract | Links | BibTeX | Etiquetas: Computational Particle Mechanics @article{2196-4386, title = {Fully coupled meshfree numerical approach based on the finite pointset method for static linear thermoelasticity problems}, author = {Resendiz Flores, FR, Saucedo Zendejo, AV Jimenez Villalpando}, url = {https://doi.org/10.1007/s40571-021-00406-0}, doi = {s40571-021-00406-0}, issn = {2196-4386}, year = {2021}, date = {2021-04-10}, journal = {Computational Particle Mechanics}, pages = {14}, abstract = {In this work, a promising fully coupled meshfree numerical approach is extended and implemented for the first time in the field of linear static thermoelasticity. A real meshfree method, the so-called finite pointset method (FPM), is applied and implemented in order to solve the strong/classical form of the governing partial differential equations for static linear thermoelasticity. Several benchmark problems are numerically solved in order to show the proposed coupled FPM numerical performance. The presented FPM meshfree approach shows excellent behavior for 2D linear static thermoelasticity problems even for complex geometries.}, keywords = {Computational Particle Mechanics}, pubstate = {published}, tppubtype = {article} } In this work, a promising fully coupled meshfree numerical approach is extended and implemented for the first time in the field of linear static thermoelasticity. A real meshfree method, the so-called finite pointset method (FPM), is applied and implemented in order to solve the strong/classical form of the governing partial differential equations for static linear thermoelasticity. Several benchmark problems are numerically solved in order to show the proposed coupled FPM numerical performance. The presented FPM meshfree approach shows excellent behavior for 2D linear static thermoelasticity problems even for complex geometries. |
R.Saucedo-Zendejo, Felix A novel meshfree approach based on the finite pointset method for linear elasticity problems Journal Article Engineering Analysis with Boundary Elements, 136 , pp. 172-185, 2021, ISSN: 0955-7997. Abstract | Links | BibTeX | Etiquetas: Finite pointset method, Meshless method, Navier–Cauchy equations, Solid mechanics @article{EngineeringAnalysiswithBoundaryElements, title = {A novel meshfree approach based on the finite pointset method for linear elasticity problems}, author = {Felix R.Saucedo-Zendejo}, url = {https://doi.org/10.1016/j.enganabound.2021.12.011 https://www.sciencedirect.com/science/article/pii/S0955799721003647}, doi = {10.1016}, issn = {0955-7997}, year = {2021}, date = {2021-03-16}, journal = {Engineering Analysis with Boundary Elements}, volume = {136}, pages = {172-185}, abstract = {In this work a promising novel meshfree numerical formulation with improved accuracy based on the finite pointset method (FPM) is reported and implemented for the first time for linear elasticity problems. This truly meshfree approach is applied in order to solve the governing partial differential equations, the Navier–Cauchy equations. The numerical results of some 2D and 3D classical and well-known benchmark examples using this formulation are reported and compared with a previous FPM formulation which demonstrate the improvement in accuracy, and finally, the numerical solution of a three-dimensional realistic example is reported which suggest that the presented FPM approach is promising and feasible for this kind of problems in solid mechanics.}, keywords = {Finite pointset method, Meshless method, Navier–Cauchy equations, Solid mechanics}, pubstate = {published}, tppubtype = {article} } In this work a promising novel meshfree numerical formulation with improved accuracy based on the finite pointset method (FPM) is reported and implemented for the first time for linear elasticity problems. This truly meshfree approach is applied in order to solve the governing partial differential equations, the Navier–Cauchy equations. The numerical results of some 2D and 3D classical and well-known benchmark examples using this formulation are reported and compared with a previous FPM formulation which demonstrate the improvement in accuracy, and finally, the numerical solution of a three-dimensional realistic example is reported which suggest that the presented FPM approach is promising and feasible for this kind of problems in solid mechanics. |
Bartolo de Jesús Villar-Hernández Sergio Pérez-Elizalde, Johannes Martini Fernando Toledo Perez-Rodriguez Margaret Krause Irma Delia García-Calvillo Giovanny Covarrubias-Pazaran José Crossa W R P Application of multi-trait Bayesian decision theory for parental genomic selection Journal Article 11 (2), pp. 14, 2021, ISSN: 2160-1836. Abstract | Links | BibTeX | Etiquetas: G3 Genes|Genomes|Genetics @article{jkab012, title = {Application of multi-trait Bayesian decision theory for parental genomic selection}, author = {Bartolo de Jesús Villar-Hernández, Sergio Pérez-Elizalde, Johannes W R Martini, Fernando Toledo, P Perez-Rodriguez, Margaret Krause, Irma Delia García-Calvillo, Giovanny Covarrubias-Pazaran, José Crossa}, url = {https://academic.oup.com/g3journal/article-pdf/11/2/jkab012/37041735/jkab012.pdf}, doi = {10.1093/g3journal/jkab012}, issn = {2160-1836}, year = {2021}, date = {2021-01-20}, volume = {11}, number = {2}, pages = {14}, abstract = {In all breeding programs, the decision about which individuals to select and intermate to form the next selection cycle is crucial. The improvement of genetic stocks requires considering multiple traits simultaneously, given that economic value and net genetic merits depend on many traits; therefore, with the advance of computational and statistical tools and genomic selection (GS), researchers are focusing on multi-trait selection. Selection of the best individuals is difficult, especially in traits that are antagonistically correlated, where improvement in one trait might imply a reduction in other(s). There are approaches that facilitate multi-trait selection, and recently a Bayesian decision theory (BDT) has been proposed. Parental selection using BDT has the potential to be effective in multi-trait selection given that it summarizes all relevant quantitative genetic concepts such as heritability, response to selection and the structure of dependence between traits (correlation). In this study, we applied BDT to provide a treatment for the complexity of multi-trait parental selection using three multivariate loss functions (LF), Kullback–Leibler (KL), Energy Score, and Multivariate Asymmetric Loss (MALF), to select the best-performing parents for the next breeding cycle in two extensive real wheat data sets. Results show that the high ranking lines in genomic estimated breeding value (GEBV) for certain traits did not always have low values for the posterior expected loss (PEL). For both data sets, the KL LF gave similar importance to all traits including grain yield. In contrast, the Energy Score and MALF gave a better performance in three of four traits that were different than grain yield. The BDT approach should help breeders to decide based not only on the GEBV per se of the parent to be selected, but also on the level of uncertainty according to the Bayesian paradigm.}, keywords = {G3 Genes|Genomes|Genetics}, pubstate = {published}, tppubtype = {article} } In all breeding programs, the decision about which individuals to select and intermate to form the next selection cycle is crucial. The improvement of genetic stocks requires considering multiple traits simultaneously, given that economic value and net genetic merits depend on many traits; therefore, with the advance of computational and statistical tools and genomic selection (GS), researchers are focusing on multi-trait selection. Selection of the best individuals is difficult, especially in traits that are antagonistically correlated, where improvement in one trait might imply a reduction in other(s). There are approaches that facilitate multi-trait selection, and recently a Bayesian decision theory (BDT) has been proposed. Parental selection using BDT has the potential to be effective in multi-trait selection given that it summarizes all relevant quantitative genetic concepts such as heritability, response to selection and the structure of dependence between traits (correlation). In this study, we applied BDT to provide a treatment for the complexity of multi-trait parental selection using three multivariate loss functions (LF), Kullback–Leibler (KL), Energy Score, and Multivariate Asymmetric Loss (MALF), to select the best-performing parents for the next breeding cycle in two extensive real wheat data sets. Results show that the high ranking lines in genomic estimated breeding value (GEBV) for certain traits did not always have low values for the posterior expected loss (PEL). For both data sets, the KL LF gave similar importance to all traits including grain yield. In contrast, the Energy Score and MALF gave a better performance in three of four traits that were different than grain yield. The BDT approach should help breeders to decide based not only on the GEBV per se of the parent to be selected, but also on the level of uncertainty according to the Bayesian paradigm. |
R Ojeda, Reyes-Valdés J 34 (1), pp. 34, 2021, ISSN: 0120-338X. Abstract | Links | BibTeX | Etiquetas: Forma y Función @article{0120-338X, title = {Una propuesta de herramientas informáticas para el tratamiento estadístico del índice de disponibilidad léxica en estudios correlacionales de educación y movilidad social}, author = {R, Ojeda, J. Reyes-Valdés}, url = {http://dx.doi.org/10.15446/fyf.v34n1.80581}, doi = {80581}, issn = {0120-338X}, year = {2021}, date = {2021-01-01}, volume = {34}, number = {1}, pages = {34}, abstract = {El trabajo plantea una propuesta para el procesamiento de índices de disponibilidad léxica (ámbito educativo) mediante herramientas estadísticas más eficientes que las usadas en la última década. El planteamiento asociado deriva una ruta de ejercicio interdisciplinar entre lingüistas y estadísticos que capitaliza los corpus lingüísticos, tratándolos como estudios correlacionales dentro del marco de la minería de datos. Se muestran resultados iniciales de la fase cuantitativa del estudio. La escuela secundaria como reguladora de los factores discursivos correlativos entre disponibilidad léxica y movilidad social, procesados con metodología de lingüística de corpus y estadístico libre, correlacionando, con alta eficiencia, índices de disponibilidad léxica y perspectiva de movilidad social en alumnos de secundaria en Saltillo, Coahuila, México, y como un corpus viable de ser correlacionado con bases de datos parciales o censuales para la toma de decisiones en el aula y la política pública por la posibilidad de correlación entre bases de datos.}, keywords = {Forma y Función}, pubstate = {published}, tppubtype = {article} } El trabajo plantea una propuesta para el procesamiento de índices de disponibilidad léxica (ámbito educativo) mediante herramientas estadísticas más eficientes que las usadas en la última década. El planteamiento asociado deriva una ruta de ejercicio interdisciplinar entre lingüistas y estadísticos que capitaliza los corpus lingüísticos, tratándolos como estudios correlacionales dentro del marco de la minería de datos. Se muestran resultados iniciales de la fase cuantitativa del estudio. La escuela secundaria como reguladora de los factores discursivos correlativos entre disponibilidad léxica y movilidad social, procesados con metodología de lingüística de corpus y estadístico libre, correlacionando, con alta eficiencia, índices de disponibilidad léxica y perspectiva de movilidad social en alumnos de secundaria en Saltillo, Coahuila, México, y como un corpus viable de ser correlacionado con bases de datos parciales o censuales para la toma de decisiones en el aula y la política pública por la posibilidad de correlación entre bases de datos. |
2020 |
Sánchez-Carrera, Edgar; Avalos-Gaytán, Vanesa; Cardona-Valdés, Yajaira Synchronization of globalized economies Journal Article University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, (1909), pp. 23, 2020, ISSN: 1974-4110. Abstract | Links | BibTeX | Etiquetas: Business cycles, Complex systems, Economics of globalization, Network Topology, Synchronization, Trade Integration @article{WP_19_09, title = {Synchronization of globalized economies}, author = {Edgar Sánchez-Carrera and Vanesa Avalos-Gaytán and Yajaira Cardona-Valdés}, url = {http://www.econ.uniurb.it/RePEc/urb/wpaper/WP_19_09.pdf}, issn = {1974-4110}, year = {2020}, date = {2020-06-24}, journal = {University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini}, number = {1909}, pages = {23}, abstract = {Does the synchronization of globalized-oscillating economies matter for macroeconomic outcomes? If so, how oscillating economies are synchornized and conform stable networks. In this paper we apply phase oscillator models such as Kuramoto’s model to understand synchronization phenomena in net- works of countries. Our aim is to study a network of interacting phase oscillating economies, and an adaptation mechanism for the coupling that promotes the connection strengths between those elements that are dynamically correlated. Under these circumstances, the dynamical organization of the oscil- lators/economies shapes the topology of the graph in such a way that modularity and assortativity features emerge spontaneously and simultaneously. Our results show the conformation of the network and the global and local synchronization measures for the 42 oscillating economies during the period from 1960 to 2018, using Trade (% of GDP) data. Moreover, we obtain the measure of local assortativ- ity in the formation of those economies that more or less interact or are connected. We conclude that the Kuramoto model with networks is a useful tool to study economics synchronization. }, keywords = {Business cycles, Complex systems, Economics of globalization, Network Topology, Synchronization, Trade Integration}, pubstate = {published}, tppubtype = {article} } Does the synchronization of globalized-oscillating economies matter for macroeconomic outcomes? If so, how oscillating economies are synchornized and conform stable networks. In this paper we apply phase oscillator models such as Kuramoto’s model to understand synchronization phenomena in net- works of countries. Our aim is to study a network of interacting phase oscillating economies, and an adaptation mechanism for the coupling that promotes the connection strengths between those elements that are dynamically correlated. Under these circumstances, the dynamical organization of the oscil- lators/economies shapes the topology of the graph in such a way that modularity and assortativity features emerge spontaneously and simultaneously. Our results show the conformation of the network and the global and local synchronization measures for the 42 oscillating economies during the period from 1960 to 2018, using Trade (% of GDP) data. Moreover, we obtain the measure of local assortativ- ity in the formation of those economies that more or less interact or are connected. We conclude that the Kuramoto model with networks is a useful tool to study economics synchronization. |
Ruiz y Ruiz, E; García-Calvillo, I; Nucamendi-Guillén, S Open vehicle routing problem with split deliveries: mathematical formulations and a cutting-plane method Journal Article Oper Res Int J (2020), 2020. Abstract | Links | BibTeX | Etiquetas: Cutting-plane method, Logistic distribution, Mixed integer programming, Open vehicle routing problem, Split delivery @article{OperResIntJ(2020), title = {Open vehicle routing problem with split deliveries: mathematical formulations and a cutting-plane method}, author = {Ruiz y Ruiz, E. and García-Calvillo, I. and Nucamendi-Guillén, S.}, url = {https://doi.org/10.1007/s12351-020-00580-8}, year = {2020}, date = {2020-06-22}, journal = {Oper Res Int J (2020)}, abstract = {This study addresses the open vehicle routing problem with split deliveries, a variant of the classical vehicle routing problem that allows open routes and partitioned deliveries for customers (i.e., multiple vehicles may serve one customer). This approach may be beneficial for companies interested in reducing their logistics and distribution costs. This study is motivated by a company in the pharmaceutical industry, that seeks to explore the possibility of splitting their deliveries to improve quality indicators related to on-time deliveries and customer satisfaction. Two mixed-integer formulations of the problem are proposed. Additionally, a cutting-plane method is designed to improve the optimization performance. Computational experiments were conducted to validate the performance of the formulations. The second formulation effectiveness was confirmed by providing optimal solutions for instances of up to 30 nodes in a reasonable computational time. The incorporation of the cutting-plane method improves performance with a substantial reduction in the GAP. In the case study, this new approach shows its effectiveness in economic terms by providing savings of up to 20% of the current distribution costs.}, keywords = {Cutting-plane method, Logistic distribution, Mixed integer programming, Open vehicle routing problem, Split delivery}, pubstate = {published}, tppubtype = {article} } This study addresses the open vehicle routing problem with split deliveries, a variant of the classical vehicle routing problem that allows open routes and partitioned deliveries for customers (i.e., multiple vehicles may serve one customer). This approach may be beneficial for companies interested in reducing their logistics and distribution costs. This study is motivated by a company in the pharmaceutical industry, that seeks to explore the possibility of splitting their deliveries to improve quality indicators related to on-time deliveries and customer satisfaction. Two mixed-integer formulations of the problem are proposed. Additionally, a cutting-plane method is designed to improve the optimization performance. Computational experiments were conducted to validate the performance of the formulations. The second formulation effectiveness was confirmed by providing optimal solutions for instances of up to 30 nodes in a reasonable computational time. The incorporation of the cutting-plane method improves performance with a substantial reduction in the GAP. In the case study, this new approach shows its effectiveness in economic terms by providing savings of up to 20% of the current distribution costs. |
Sanchez, Edgar; Policardo, L; García, A; Accinelli, E A Co-evolutionary Model for Human Capital and Innovative Firms Journal Article Games and Dynamics in Economics, pp. 17-32, 2020, ISBN: 978-981-15-3623-6. Abstract | Links | BibTeX | Etiquetas: Behavioral macroeconomics, Economic growth, Evolutionary dynamics, Innovative firms, Skilled labor @article{978-981-15-3623-6_2, title = {A Co-evolutionary Model for Human Capital and Innovative Firms}, author = {Edgar Sanchez and L. Policardo and A. García and E. Accinelli }, url = {https://link.springer.com/chapter/10.1007/978-981-15-3623-6_2}, doi = {https://doi.org/10.1007/978-981-15-3623-6_2}, isbn = {978-981-15-3623-6}, year = {2020}, date = {2020-04-12}, journal = {Games and Dynamics in Economics}, pages = {17-32}, abstract = {The paper aims to study the co-evolution dynamics of human capital and innovative firms by means of an evolutionary game theory model. We analyze the properties of the model, showing that if the demand for skilled labor is higher than its supply, then innovative firms may have an incentive to become non-innovative and stop hiring skilled workers. If, by contrast, the supply of skilled labor is higher than its demand, then there could be incentives for non-innovative firms to become innovative. Then, we introduce the dynamic extension of the model, applying a replicator dynamics equation for the fraction of innovative firms and the fraction of skilled workers. The steady states of the system are identified and as the most interesting one, the interior steady state, is discussed. Subsequently some simplified versions of the model are proposed and studied. By means of such analysis, we claim that a policy oriented to increasing the stock of skilled labor can set the economy on a positive path towards technological development.}, keywords = {Behavioral macroeconomics, Economic growth, Evolutionary dynamics, Innovative firms, Skilled labor}, pubstate = {published}, tppubtype = {article} } The paper aims to study the co-evolution dynamics of human capital and innovative firms by means of an evolutionary game theory model. We analyze the properties of the model, showing that if the demand for skilled labor is higher than its supply, then innovative firms may have an incentive to become non-innovative and stop hiring skilled workers. If, by contrast, the supply of skilled labor is higher than its demand, then there could be incentives for non-innovative firms to become innovative. Then, we introduce the dynamic extension of the model, applying a replicator dynamics equation for the fraction of innovative firms and the fraction of skilled workers. The steady states of the system are identified and as the most interesting one, the interior steady state, is discussed. Subsequently some simplified versions of the model are proposed and studied. By means of such analysis, we claim that a policy oriented to increasing the stock of skilled labor can set the economy on a positive path towards technological development. |
Policardo, L; Sanchez-Carrera, Edgar Can income inequality promote democratization? Journal Article Metroeconomica, 71 (3), pp. 510-532, 2020. Abstract | Links | BibTeX | Etiquetas: Inequality @article{meca.12287, title = {Can income inequality promote democratization?}, author = {L. Policardo and Edgar Sanchez-Carrera }, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/meca.12287}, year = {2020}, date = {2020-03-15}, journal = {Metroeconomica}, volume = {71}, number = {3}, pages = {510-532}, abstract = {The aim of this paper is to study the effect of income inequality on the probability of democratization, in a panel of 51 transition countries during the period 1960–2008. Using a conditional fixed‐effect logit estimation, we find robust results suggesting that income inequality (measured by the Gini index of household’s income inequality) has an inverse—U‐shaped relation with the probability of transition from autarchy to democracy. We show that there is a turning point at a level of household’s income inequality equal to a Gini index of 40. When income inequality is below 40, then probability of transition is positively related to inequality, but when inequality is higher, a subsequent increase in inequality decreases the probability of democratization. This is consistent with Acemoglu and Robinson’s theory that shows how transitions are likeliest at moderate levels of inequality, while autocracy is likelier at the lowest and highest levels of inequality.}, keywords = {Inequality}, pubstate = {published}, tppubtype = {article} } The aim of this paper is to study the effect of income inequality on the probability of democratization, in a panel of 51 transition countries during the period 1960–2008. Using a conditional fixed‐effect logit estimation, we find robust results suggesting that income inequality (measured by the Gini index of household’s income inequality) has an inverse—U‐shaped relation with the probability of transition from autarchy to democracy. We show that there is a turning point at a level of household’s income inequality equal to a Gini index of 40. When income inequality is below 40, then probability of transition is positively related to inequality, but when inequality is higher, a subsequent increase in inequality decreases the probability of democratization. This is consistent with Acemoglu and Robinson’s theory that shows how transitions are likeliest at moderate levels of inequality, while autocracy is likelier at the lowest and highest levels of inequality. |
Soto-Mendoza, V; García-Calvillo, I; Ruiz-y-Ruiz, E; J., Pérez-Terrazas A Hybrid Grasshopper Optimization Algorithm Applied to the Open Vehicle Routing Problem Journal Article Algorithms , 13 (96), 2020. Abstract | Links | BibTeX | Etiquetas: Algorithms, Combinatorial optimization, Grasshopper optimization algorithm, Open vehicle routing problem, Optimization @article{Algorithms20201396, title = {A Hybrid Grasshopper Optimization Algorithm Applied to the Open Vehicle Routing Problem}, author = {Soto-Mendoza, V. and García-Calvillo, I. and Ruiz-y-Ruiz, E. and Pérez-Terrazas J.}, url = {https://doi.org/10.3390/a13040096}, year = {2020}, date = {2020-03-03}, journal = {Algorithms }, volume = {13}, number = {96}, abstract = {This paper presents a hybrid grasshopper optimization algorithm using a novel decoder and local search to solve instances of the open vehicle routing problem with capacity and distance constraints. The algorithm’s decoder first defines the number of vehicles to be used and then it partitions the clients, assigning them to the available routes. The algorithm performs a local search in three neighborhoods after decoding. When a new best solution is found, every route is locally optimized by solving a traveling salesman problem, considering the depot and clients in the route. Three sets containing a total of 30 benchmark problems from the literature were used to test the algorithm. The experiments considered two cases of the problem. In the first, the primary objective is to minimize the total number of vehicles and then the total distance to be traveled. In the second case, the total distance traveled by the vehicles is minimized. The obtained results showed the algorithm’s proficient performance. For the first case, the algorithm was able to improve or match the best-known solutions for 21 of the 30 benchmark problems. For the second case, the best-known solutions for 18 of the 30 benchmark problems were found or improved by the algorithm. Finally, a case study from a real-life problem is included}, keywords = {Algorithms, Combinatorial optimization, Grasshopper optimization algorithm, Open vehicle routing problem, Optimization}, pubstate = {published}, tppubtype = {article} } This paper presents a hybrid grasshopper optimization algorithm using a novel decoder and local search to solve instances of the open vehicle routing problem with capacity and distance constraints. The algorithm’s decoder first defines the number of vehicles to be used and then it partitions the clients, assigning them to the available routes. The algorithm performs a local search in three neighborhoods after decoding. When a new best solution is found, every route is locally optimized by solving a traveling salesman problem, considering the depot and clients in the route. Three sets containing a total of 30 benchmark problems from the literature were used to test the algorithm. The experiments considered two cases of the problem. In the first, the primary objective is to minimize the total number of vehicles and then the total distance to be traveled. In the second case, the total distance traveled by the vehicles is minimized. The obtained results showed the algorithm’s proficient performance. For the first case, the algorithm was able to improve or match the best-known solutions for 21 of the 30 benchmark problems. For the second case, the best-known solutions for 18 of the 30 benchmark problems were found or improved by the algorithm. Finally, a case study from a real-life problem is included |
Bridaa, Juan Gabriel ; Sanchez Carrera, Edgar J; Segarraa, Verónica Clustering and regime dynamics for economic growth and income inequality, Structural Change and Economic Dynamics Journal Article ELSEVIER, 52 , pp. 99-108, 2020, ISSN: 0954-349X. Abstract | Links | BibTeX | Etiquetas: Data symbolization, Dynamic panel data, Granger causality, Inequality-growth regimes, Minimum spanning tree, Multidimensional clustering methods @article{j.strueco.2019.09.010, title = {Clustering and regime dynamics for economic growth and income inequality, Structural Change and Economic Dynamics}, author = {Bridaa, Juan Gabriel and Sanchez Carrera, Edgar J. and Segarraa, Verónica}, url = {https://www.sciencedirect.com/science/article/pii/S0954349X18303953?via%3Dihub}, issn = {0954-349X}, year = {2020}, date = {2020-03-01}, journal = {ELSEVIER}, volume = {52}, pages = {99-108}, abstract = {This study explores the dynamic relationship between income inequality and economic growth by using a non-parametric approach and numerical taxonomy as a research method based on data symbolization and clustering methods. The study uses annual data of the GINI index (considering two databases, i.e. the Standardized World Income Inequality Database (SWIID) and the Estimated Household Income Inequality Data Set (EHII)) and the Per Capita GDP Growth Rates (economic growth variable) for two samples, i.e. 38 countries between 1980 and 2015, and 23 countries during the period 1980–2010. This novel methodology is used to detect the existence of clusters of countries sharing similar economic performance that are characterized by the income inequality variable. Once the homogeneous clusters are fixed, using a dynamic econometric approach, we study the Granger causal relationship between economic growth and income inequality, and the positive or negative long-run effects. Our results show that in advanced economies there is an economic growth policy supporting income distribution, while in poor or developing economies economic growth is enhanced by income concentration.}, keywords = {Data symbolization, Dynamic panel data, Granger causality, Inequality-growth regimes, Minimum spanning tree, Multidimensional clustering methods}, pubstate = {published}, tppubtype = {article} } This study explores the dynamic relationship between income inequality and economic growth by using a non-parametric approach and numerical taxonomy as a research method based on data symbolization and clustering methods. The study uses annual data of the GINI index (considering two databases, i.e. the Standardized World Income Inequality Database (SWIID) and the Estimated Household Income Inequality Data Set (EHII)) and the Per Capita GDP Growth Rates (economic growth variable) for two samples, i.e. 38 countries between 1980 and 2015, and 23 countries during the period 1980–2010. This novel methodology is used to detect the existence of clusters of countries sharing similar economic performance that are characterized by the income inequality variable. Once the homogeneous clusters are fixed, using a dynamic econometric approach, we study the Granger causal relationship between economic growth and income inequality, and the positive or negative long-run effects. Our results show that in advanced economies there is an economic growth policy supporting income distribution, while in poor or developing economies economic growth is enhanced by income concentration. |
Saucedo-Zendejo, Felix R; Reséndiz-Flores, Edgar O Meshfree numerical approach based on the Finite Pointset Method for static linear elasticity problems Journal Article Computer Methods in Applied Mechanics and Engineering, 372 , pp. 113367, 2020. BibTeX | Etiquetas: @article{saucedo2020meshfree, title = {Meshfree numerical approach based on the Finite Pointset Method for static linear elasticity problems}, author = {Felix R Saucedo-Zendejo and Edgar O Reséndiz-Flores}, year = {2020}, date = {2020-01-01}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {372}, pages = {113367}, publisher = {Elsevier}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Nuñez-Briones, AG; Benavides, R; Mendoza-Mendoza, E; Martínez-Pardo, ME; Carrasco-Abrego, H; Kotzian, C; Saucedo-Zendejo, FR; García-Cerda, LA Preparation of PVC/Bi2O3 composites and their evaluation as low energy X-Ray radiation shielding Journal Article Radiation Physics and Chemistry, pp. 109198, 2020. BibTeX | Etiquetas: @article{nunez2020preparation, title = {Preparation of PVC/Bi2O3 composites and their evaluation as low energy X-Ray radiation shielding}, author = {AG Nuñez-Briones and R Benavides and E Mendoza-Mendoza and ME Martínez-Pardo and H Carrasco-Abrego and C Kotzian and FR Saucedo-Zendejo and LA García-Cerda}, year = {2020}, date = {2020-01-01}, journal = {Radiation Physics and Chemistry}, pages = {109198}, publisher = {Elsevier}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Altamirano-Guerrero, Gerardo; García-Calvillo, Irma D; Reséndiz-Flores, Edgar O; Costa, Patricia; Salinas-Rodríguez, Armando; Goodwin, Frank Intelligent design in continuous galvanizing process for advanced ultra-high-strength dual-phase steels using back-propagation artificial neural networks and MOAMP-Squirrels search algorithm Journal Article The International Journal of Advanced Manufacturing Technology, pp. 1–12, 2020. BibTeX | Etiquetas: @article{altamirano2020intelligent, title = {Intelligent design in continuous galvanizing process for advanced ultra-high-strength dual-phase steels using back-propagation artificial neural networks and MOAMP-Squirrels search algorithm}, author = {Gerardo Altamirano-Guerrero and Irma D García-Calvillo and Edgar O Reséndiz-Flores and Patricia Costa and Armando Salinas-Rodríguez and Frank Goodwin}, year = {2020}, date = {2020-01-01}, journal = {The International Journal of Advanced Manufacturing Technology}, pages = {1--12}, publisher = {Springer}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Navarro-Acosta, Jesús Alejandro; García-Calvillo, Irma D; Avalos-Gaytán, Vanesa; Reséndiz-Flores, Edgar O Metaheuristics and Support Vector Data Description for Fault Detection in Industrial Processes Journal Article Applied Sciences, 10 (24), 2020, ISSN: 2076-3417. Abstract | Links | BibTeX | Etiquetas: @article{app10249145, title = {Metaheuristics and Support Vector Data Description for Fault Detection in Industrial Processes}, author = {Jesús Alejandro Navarro-Acosta and Irma D García-Calvillo and Vanesa Avalos-Gaytán and Edgar O Reséndiz-Flores}, url = {https://www.mdpi.com/2076-3417/10/24/9145}, doi = {10.3390/app10249145}, issn = {2076-3417}, year = {2020}, date = {2020-01-01}, journal = {Applied Sciences}, volume = {10}, number = {24}, abstract = {In this study, a system for faults detection using a combination of Support Vector Data Description (SVDD) with metaheuristic algorithms is presented. The presented approach is applied to a real industrial process where the set of measured faults is scarce. The original contribution in this work is the industrial context of application and the comparison of swarm intelligence algorithms to optimize the SVDD hyper-parameters. Four recent metaheuristics are compared hereby to solve the corresponding optimization problem in an efficient manner. These optimization techniques are then implemented for fault detection in a multivariate industrial process with non-balanced data. The obtained numerical results seem to be promising when the considered optimization techniques are combined with SVDD. In particular, the Spotted Hyena algorithm outperforms other metaheuristics reaching values of F1 score near 100% in fault detection.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In this study, a system for faults detection using a combination of Support Vector Data Description (SVDD) with metaheuristic algorithms is presented. The presented approach is applied to a real industrial process where the set of measured faults is scarce. The original contribution in this work is the industrial context of application and the comparison of swarm intelligence algorithms to optimize the SVDD hyper-parameters. Four recent metaheuristics are compared hereby to solve the corresponding optimization problem in an efficient manner. These optimization techniques are then implemented for fault detection in a multivariate industrial process with non-balanced data. The obtained numerical results seem to be promising when the considered optimization techniques are combined with SVDD. In particular, the Spotted Hyena algorithm outperforms other metaheuristics reaching values of F1 score near 100% in fault detection. |
2019 |
Sifuentes, A; García, I; Reséndiz, E; Ruíz, E FJSP: Una aplicación para la reducción del tiempo de espera en el proceso de fabricación del perno de seguridad para cargadoras Journal Article Proceeding of the XIX Latin-Iberoamerican Conference on Operation Research, CLAIO 2018, pp. 807-814, 2019, ISBN: 978-612-48146-1-7. @article{978-612-48146-1-7, title = {FJSP: Una aplicación para la reducción del tiempo de espera en el proceso de fabricación del perno de seguridad para cargadoras}, author = {A. Sifuentes and I. García and E. Reséndiz and E. Ruíz}, url = {http://www.investigacionyposgrado.uadec.mx/site/wp-content/uploads/2020/05/ArticuloArbitrado_2.pdf}, isbn = {978-612-48146-1-7}, year = {2019}, date = {2019-11-01}, journal = {Proceeding of the XIX Latin-Iberoamerican Conference on Operation Research, CLAIO 2018}, pages = {807-814}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Navarro-Acosta, Jesús Alejandro; Reséndiz-Flores, Edgar Omar; García-Calvillo, Irma Delia Research in Computing Science , 148 (7), pp. 37–50, 2019, ISSN: 1870-4069. Links | BibTeX | Etiquetas: Feature selection @article{1870-4069, title = {Selección óptima de variables mediante metaheurísticas binarias para la detección de fallas en un proceso industrial multivariado usando aprendizaje de máquina}, author = {Jesús Alejandro Navarro-Acosta and Edgar Omar Reséndiz-Flores and Irma Delia García-Calvillo}, url = {http://www.investigacionyposgrado.uadec.mx/site/wp-content/uploads/2020/05/ArticuloArbitrado1.pdf}, issn = {1870-4069}, year = {2019}, date = {2019-07-01}, journal = {Research in Computing Science }, volume = {148}, number = {7}, pages = {37–50}, keywords = {Feature selection}, pubstate = {published}, tppubtype = {article} } |
Ruiz, Efrain; Soto-Mendoza, Valeria; Barbosa, Alvaro Ernesto Ruiz; Reyes, Ricardo Solving the open vehicle routing problem with capacity and distance constraints with a biased random key genetic algorithm Journal Article Computers & Industrial Engineering, 133 , pp. 207–219, 2019. BibTeX | Etiquetas: Open vehicle routing problem @article{ruiz2019solvingb, title = {Solving the open vehicle routing problem with capacity and distance constraints with a biased random key genetic algorithm}, author = {Efrain Ruiz and Valeria Soto-Mendoza and Alvaro Ernesto Ruiz Barbosa and Ricardo Reyes}, year = {2019}, date = {2019-01-01}, journal = {Computers & Industrial Engineering}, volume = {133}, pages = {207--219}, publisher = {Elsevier}, keywords = {Open vehicle routing problem}, pubstate = {published}, tppubtype = {article} } |
Reséndiz-Flores, Edgar O; Navarro-Acosta, Jesús A; Hernández-Martínez, Agustín Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis--Taguchi System Journal Article Soft Computing, pp. 1–9, 2019. BibTeX | Etiquetas: Feature selection @article{resendiz2019optimale, title = {Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis--Taguchi System}, author = {Edgar O Reséndiz-Flores and Jesús A. Navarro-Acosta and Agustín Hernández-Martínez}, year = {2019}, date = {2019-01-01}, journal = {Soft Computing}, pages = {1--9}, publisher = {Springer}, keywords = {Feature selection}, pubstate = {published}, tppubtype = {article} } |
2018 |
Avalos-Rosales, Oliver; Angel-Bello, Francisco; Álvarez, Ada; Cardona-Valdés, Yajaira Including preventive maintenance activities in an unrelated parallel machine environment with dependent setup times Journal Article Computers & Industrial Engineering, 123 , pp. 364-377, 2018. Links | BibTeX | Etiquetas: Integer programming, Metaheuristic, Scheduling @article{AvalosRosales2018, title = {Including preventive maintenance activities in an unrelated parallel machine environment with dependent setup times}, author = {Oliver Avalos-Rosales and Francisco Angel-Bello and Ada Álvarez and Yajaira Cardona-Valdés}, doi = {10.1016/j.cie.2018.07.006}, year = {2018}, date = {2018-09-01}, journal = {Computers & Industrial Engineering}, volume = {123}, pages = {364-377}, keywords = {Integer programming, Metaheuristic, Scheduling}, pubstate = {published}, tppubtype = {article} } |
Socarrás, Ada Margarita Álvarez; Rosales, Oliver Avalos; Calvillo, Irma Delia García (Ed.) Aplicaciones recientes en la investigación de operaciones Book Universidad Autónoma de Coahuila, Boulevard Venustiano Carranza sin número, Colonia República Oriente, C.P. 25280, Saltillo, Coahuila, México., 2018, ISBN: 978-607-506-350, (Editors : Ada Margarita Álvarez Socarrás, Oliver Avalos Rosales, Irma Delia García Calvillo). Abstract | Links | BibTeX | Etiquetas: Inventory management, Software development, Vehicle routing, Water distribution @book{978-607-506-350-8, title = {Aplicaciones recientes en la investigación de operaciones}, editor = {Ada Margarita Álvarez Socarrás and Oliver Avalos Rosales and Irma Delia García Calvillo}, url = {http://www.investigacionyposgrado.uadec.mx/site/wp-content/uploads/2020/05/Libro_AplicacionesRecientesIO.pdf}, isbn = {978-607-506-350}, year = {2018}, date = {2018-09-01}, publisher = {Universidad Autónoma de Coahuila}, address = {Boulevard Venustiano Carranza sin número, Colonia República Oriente, C.P. 25280, Saltillo, Coahuila, México.}, abstract = {Este libro es un compendio de resultados recientes de IdeO, todos relacionados con aplicaciones reales, lo que muestra que la optimización cada vez tiene mayores alcances en el sector público y privado, mejorando los procesos y la calidad de vida de las personas. El libro está formado por cuatro capítulos. El primero de ellos se dedica a un problema de ruteo de vehículos para una empresa mexicana del área química. El segundo capítulo plantea una aplicación de la optimización para la distribución de aguas tratadas en una ciudad de la República Mexicana. El tercer capítulo de este libro desarrolla un modelo de simulación para la gestión de inventarios. Por último, el cuarto capítulo describe el desarrollo de software para el área de pronósticos, aplicado a una empresa mexicana.}, note = {Editors : Ada Margarita Álvarez Socarrás, Oliver Avalos Rosales, Irma Delia García Calvillo}, keywords = {Inventory management, Software development, Vehicle routing, Water distribution}, pubstate = {published}, tppubtype = {book} } Este libro es un compendio de resultados recientes de IdeO, todos relacionados con aplicaciones reales, lo que muestra que la optimización cada vez tiene mayores alcances en el sector público y privado, mejorando los procesos y la calidad de vida de las personas. El libro está formado por cuatro capítulos. El primero de ellos se dedica a un problema de ruteo de vehículos para una empresa mexicana del área química. El segundo capítulo plantea una aplicación de la optimización para la distribución de aguas tratadas en una ciudad de la República Mexicana. El tercer capítulo de este libro desarrolla un modelo de simulación para la gestión de inventarios. Por último, el cuarto capítulo describe el desarrollo de software para el área de pronósticos, aplicado a una empresa mexicana. |
Avalos-Gaytán, Vanesa; Almendral, Juan A; Leyva, I; Battiston, F; Nicosia, V; Latora, V; Boccaletti, Stefano Emergent explosive synchronization in adaptive complex networks Journal Article Physical Review E, 97 (4), pp. 042301, 2018. Links | BibTeX | Etiquetas: Networks, Synchronization @article{avalos2018emergent, title = {Emergent explosive synchronization in adaptive complex networks}, author = {Vanesa Avalos-Gaytán and Almendral, Juan A and Leyva, I and Battiston, F and Nicosia, V and Latora, V and Stefano Boccaletti}, doi = {10.1103/PhysRevE.97.042301}, year = {2018}, date = {2018-04-04}, journal = {Physical Review E}, volume = {97}, number = {4}, pages = {042301}, keywords = {Networks, Synchronization}, pubstate = {published}, tppubtype = {article} } |
Beltrán, Jessica; Navarro, René; Chávez, Edgar; Favela, Jesús; Soto-Mendoza, Valeria; Ibarra, Catalina Recognition of audible disruptive behavior from people with dementia Journal Article Personal and Ubiquitous Computing, pp. 1–13, 2018. BibTeX | Etiquetas: Elderly care @article{beltran2018, title = {Recognition of audible disruptive behavior from people with dementia}, author = {Jessica Beltrán and René Navarro and Edgar Chávez and Jesús Favela and Valeria Soto-Mendoza and Catalina Ibarra}, year = {2018}, date = {2018-01-01}, journal = {Personal and Ubiquitous Computing}, pages = {1--13}, publisher = {Springer}, keywords = {Elderly care}, pubstate = {published}, tppubtype = {article} } |
Reséndiz-Flores, Edgar O; Navarro-Acosta, Jesús A; Mota-Gutiérrez, Cecilia G; Reyes-Carlos, Yadira I Fault detection and optimal feature selection in automobile motor-head machining process Journal Article The International Journal of Advanced Manufacturing Technology, 94 (5-8), pp. 2613–2622, 2018. BibTeX | Etiquetas: Feature selection @article{resendiz2018, title = {Fault detection and optimal feature selection in automobile motor-head machining process}, author = {Edgar O Reséndiz-Flores and Jesús A. Navarro-Acosta and Cecilia G Mota-Gutiérrez and Yadira I Reyes-Carlos}, year = {2018}, date = {2018-01-01}, journal = {The International Journal of Advanced Manufacturing Technology}, volume = {94}, number = {5-8}, pages = {2613--2622}, publisher = {Springer}, keywords = {Feature selection}, pubstate = {published}, tppubtype = {article} } |
2017 |
Angel-Bello, Francisco; Cardona-Valdés, Yajaira; Álvarez, Ada Mixed integer formulations for the multiple minimum latency problem Journal Article Operational Research, pp. 1–30, 2017. Links | BibTeX | Etiquetas: Integer programming @article{angelmixed, title = {Mixed integer formulations for the multiple minimum latency problem}, author = {Francisco Angel-Bello and Yajaira Cardona-Valdés and Ada Álvarez}, url = {https://link.springer.com/article/10.1007/s12351-017-0299-4}, year = {2017}, date = {2017-02-08}, journal = {Operational Research}, pages = {1--30}, publisher = {Springer}, keywords = {Integer programming}, pubstate = {published}, tppubtype = {article} } |
Gaytán, Vanesa Ávalos; Valdés, Yajaira Cardona; Calvillo, Irma Delia García; Castañeda, Rina Betzabeth Ojeda (Ed.) Compendio de resultados de investigación aplicada a ingeniería Book Universidad Autónoma del Estado de Coahuila, 2017. Links | BibTeX | Etiquetas: Engineering, Integer programming @book{2017.CRIAI, title = {Compendio de resultados de investigación aplicada a ingeniería}, editor = {Vanesa Ávalos Gaytán and Yajaira Cardona Valdés and Irma Delia García Calvillo and Rina Betzabeth Ojeda Castañeda}, url = {http://www.turing.cima.uadec.mx/downloads.php?filename=/repositorio/Compendiocompleto.pdf}, year = {2017}, date = {2017-01-18}, publisher = {Universidad Autónoma del Estado de Coahuila}, keywords = {Engineering, Integer programming}, pubstate = {published}, tppubtype = {book} } |
Calvillo, Irma Delia García; Castañeda, Rina Betzabeth Ojeda (Ed.) Aportaciones de ingeniería: Aplicaciones en Cómputo móvil y manufactura integral Book Universidad Autónoma del Estado de Coahuila, 2017. Links | BibTeX | Etiquetas: Engineering @book{2017.ACMM, title = {Aportaciones de ingeniería: Aplicaciones en Cómputo móvil y manufactura integral}, editor = {Irma Delia García Calvillo and Rina Betzabeth Ojeda Castañeda}, url = {http://www.turing.cima.uadec.mx/downloads.php?filename=/repositorio/Aportacionescompleto.pdf}, year = {2017}, date = {2017-01-18}, publisher = {Universidad Autónoma del Estado de Coahuila}, keywords = {Engineering}, pubstate = {published}, tppubtype = {book} } |
Soto-Mendoza, Valeria; García-Macías, Antonio J; Chávez, Edgar; Gomez-Montalvo, Jorge R; Quintana, Eduardo Detecting abnormal behaviours of institutionalized older adults through a hybrid-inference approach Journal Article Pervasive and Mobile Computing, 40 , pp. 708–723, 2017. BibTeX | Etiquetas: @article{soto2017detecting, title = {Detecting abnormal behaviours of institutionalized older adults through a hybrid-inference approach}, author = {Valeria Soto-Mendoza and Antonio J García-Macías and Edgar Chávez and Jorge R Gomez-Montalvo and Eduardo Quintana}, year = {2017}, date = {2017-01-01}, journal = {Pervasive and Mobile Computing}, volume = {40}, pages = {708--723}, publisher = {Elsevier}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Navarro-Acosta, Jesús A; Reséndiz-Flores, Edgar O Gompertz binary particle swarm optimization and support vector data description system for fault detection and feature selection applied in automotive pedals components Journal Article The International Journal of Advanced Manufacturing Technology, 92 (5-8), pp. 2311–2324, 2017. BibTeX | Etiquetas: Feature selection @article{navarro2017, title = {Gompertz binary particle swarm optimization and support vector data description system for fault detection and feature selection applied in automotive pedals components}, author = {Jesús A. Navarro-Acosta and Edgar O Reséndiz-Flores}, year = {2017}, date = {2017-01-01}, journal = {The International Journal of Advanced Manufacturing Technology}, volume = {92}, number = {5-8}, pages = {2311--2324}, publisher = {Springer}, keywords = {Feature selection}, pubstate = {published}, tppubtype = {article} } |
2016 |
Matilla-García, Mariano; Ojeda, Rina B; Marín, Manuel Ruiz Selection of Temporal Lags When Modeling Economic and Financial Processes. Journal Article Nonlinear dynamics, psychology, and life sciences, 20 (4), pp. 445, 2016. BibTeX | Etiquetas: Statistics @article{matilla2016selection, title = {Selection of Temporal Lags When Modeling Economic and Financial Processes.}, author = {Mariano Matilla-García and Rina B Ojeda and Manuel Ruiz Marín}, year = {2016}, date = {2016-01-01}, journal = {Nonlinear dynamics, psychology, and life sciences}, volume = {20}, number = {4}, pages = {445}, keywords = {Statistics}, pubstate = {published}, tppubtype = {article} } |
2015 |
Reséndiz-Flores, Edgar O; García, Irma Numerical solution of 3D non-stationary heat conduction problems using the Finite Pointset Method Journal Article International Journal of Heat and Mass Transfer, 87 , pp. 104–110, 2015. @article{resendiz2015numerical, title = {Numerical solution of 3D non-stationary heat conduction problems using the Finite Pointset Method}, author = {Edgar O Reséndiz-Flores and Irma García}, url = {https://www.sciencedirect.com/science/article/pii/S001793101500352X}, year = {2015}, date = {2015-01-01}, journal = {International Journal of Heat and Mass Transfer}, volume = {87}, pages = {104--110}, publisher = {Elsevier}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Avalos-Rosales, Oliver; Angel-Bello, Francisco; Alvarez, Ada The International Journal of Advanced Manufacturing Technology, 76 (9-12), pp. 1705–1718, 2015. Links | BibTeX | Etiquetas: Integer programming, Scheduling @article{avalos2015efficient, title = {Efficient metaheuristic algorithm and re-formulations for the unrelated parallel machine scheduling problem with sequence and machine-dependent setup times}, author = {Oliver Avalos-Rosales and Francisco Angel-Bello and Ada Alvarez}, url = {https://link.springer.com/article/10.1007/s00170-014-6390-6}, year = {2015}, date = {2015-01-01}, journal = {The International Journal of Advanced Manufacturing Technology}, volume = {76}, number = {9-12}, pages = {1705--1718}, publisher = {Springer}, keywords = {Integer programming, Scheduling}, pubstate = {published}, tppubtype = {article} } |
Nucamendi, Samuel; Cardona-Valdés, Yajaira; Angel-Bello, Francisco Minimizing customer's waiting time in a vehicle routing problem with unit demands Journal Article Journal of Computer and Systems Sciences International, 54 (6), pp. 866–881, 2015. Links | BibTeX | Etiquetas: Integer programming, Metaheuristic @article{nucamendi2015minimizing, title = {Minimizing customer's waiting time in a vehicle routing problem with unit demands}, author = {Samuel Nucamendi and Yajaira Cardona-Valdés and Francisco Angel-Bello}, url = {https://link.springer.com/article/10.1134/S1064230715040024}, year = {2015}, date = {2015-01-01}, journal = {Journal of Computer and Systems Sciences International}, volume = {54}, number = {6}, pages = {866--881}, publisher = {Springer}, keywords = {Integer programming, Metaheuristic}, pubstate = {published}, tppubtype = {article} } |
Soto-Mendoza, Valeria; García-Macías, Antonio J; Chávez, Edgar; Martínez-García, Ana I; Favela, Jesús; Serrano-Alvarado, Patricia; Zúñiga-Rojas, Maythé R Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders Journal Article ACM Trans. Intell. Syst. Technol., 6 (4), pp. 53:1–53:31, 2015, ISSN: 2157-6904. Links | BibTeX | Etiquetas: Activities of daily living (ADL) @article{, title = {Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders}, author = {Valeria Soto-Mendoza and J. Antonio García-Macías and Edgar Chávez and Ana I. Martínez-García and Jesús Favela and Patricia Serrano-Alvarado and Maythé R. Zúñiga-Rojas }, doi = {10.1145/2736700}, issn = {2157-6904}, year = {2015}, date = {2015-01-01}, journal = {ACM Trans. Intell. Syst. Technol.}, volume = {6}, number = {4}, pages = {53:1--53:31}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Activities of daily living (ADL)}, pubstate = {published}, tppubtype = {article} } |
2014 |
Reséndiz, E; García, I Application of the Finite Pointset Method to non-stationary Heat Conduction Problems Journal Article International Journal of Heat and Mass Transfer - ELSEVIER, 71 , pp. 720-23, 2014. Abstract | Links | BibTeX | Etiquetas: Finite pointset method, Meshless method, Non-stationary heat conduction @article{j.ijheatmasstransfer.2013.12.077, title = {Application of the Finite Pointset Method to non-stationary Heat Conduction Problems}, author = {E. Reséndiz and I. García}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0017931014000106}, doi = {https://doi.org/10.1016/j.ijheatmasstransfer.2013.12.077}, year = {2014}, date = {2014-04-01}, journal = {International Journal of Heat and Mass Transfer - ELSEVIER}, volume = {71}, pages = {720-23}, abstract = {This paper proposes the use of the finite pointset method for the numerical solution of two-dimensional transient heat conduction problems. The strong formulation of the parabolic partial differential equation is directly used instead of the corresponding weak form. Moreover, a numerical comparison between the finite pointset method and the corresponding analytical solutions is reported.}, keywords = {Finite pointset method, Meshless method, Non-stationary heat conduction}, pubstate = {published}, tppubtype = {article} } This paper proposes the use of the finite pointset method for the numerical solution of two-dimensional transient heat conduction problems. The strong formulation of the parabolic partial differential equation is directly used instead of the corresponding weak form. Moreover, a numerical comparison between the finite pointset method and the corresponding analytical solutions is reported. |
Matilla-García, Mariano; Marín, Manuel Ruiz; Dore, Mohammed I; Ojeda, Rina B Nonparametric correlation integral--based tests for linear and nonlinear stochastic processes Journal Article Decisions in Economics and Finance, 37 (1), pp. 181–193, 2014. BibTeX | Etiquetas: Stochastic processes @article{matilla2014nonparametric, title = {Nonparametric correlation integral--based tests for linear and nonlinear stochastic processes}, author = {Mariano Matilla-García and Manuel Ruiz Marín and Mohammed I Dore and Rina B Ojeda}, year = {2014}, date = {2014-01-01}, journal = {Decisions in Economics and Finance}, volume = {37}, number = {1}, pages = {181--193}, publisher = {Springer}, keywords = {Stochastic processes}, pubstate = {published}, tppubtype = {article} } |
Pacheco, Joaquín; García, Irma; Alvarez, Ada Enhancing variable neighborhood search by adding memory: Application to a real logistic problem Journal Article Knowledge-Based Systems, 62 , pp. 28–37, 2014. Links | BibTeX | Etiquetas: Logistic, Metaheuristic @article{pacheco2014enhancing, title = {Enhancing variable neighborhood search by adding memory: Application to a real logistic problem}, author = {Joaquín Pacheco and Irma García and Ada Alvarez}, url = {https://www.sciencedirect.com/science/article/pii/S0950705114000690}, year = {2014}, date = {2014-01-01}, journal = {Knowledge-Based Systems}, volume = {62}, pages = {28--37}, publisher = {Elsevier}, keywords = {Logistic, Metaheuristic}, pubstate = {published}, tppubtype = {article} } |
Publicaciones
2023 |
Kernel-based hybrid multi-objective optimization algorithm (KHMO) Journal Article Information Sciences, 624 , pp. 416-434, 2023, ISSN: 0020-0255. |
2022 |
Bi-objective stochastic model for the design of biofuel supply chains incorporating risk Journal Article Expert Systems with Applications, 202 (117-285), pp. 117-285, 2022, ISSN: 0957-4174. |
Speaker Identification in Interactions between Mothers and Children with Down Syndrome via Audio Analysis: A Case Study in Mexico Journal Article pp. 1-16, 2022. |
Fault detection based on squirrel search algorithm and support vector data description for industrial processes Journal Article 2022, ISSN: 1433-7479. |
Meshfree numerical approach based on the finite pointset method for two-way coupled transient linear thermoelasticity Journal Article 2022, ISSN: 2196-4386. |
On the economic growth equilibria during the Covid-19 pandemic Journal Article Communications in Nonlinear Science and Numerical Simulation, pp. 36, 2022, ISSN: 1007-5704. |
A novel meshfree approach based on the finite pointset method for linear elasticity problems Journal Article Engineering Analysis with Boundary Elements, 136 (0), pp. 172-185, 2022, ISSN: 0955-7997. |
A novel meshfree approach based on the finite pointset method for linear elasticity problems Journal Article Engineering Analysis with Boundary Elements, 136 , pp. 172-185, 2022, ISBN: 0955-7997. |
No-linealidades entre el bienestar y la calidad-efectividad de las políticas públicas en México Journal Article Equilibrio Económico, 18 (53), 2022, ISSN: 2007-2627. |
Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes Journal Article International Journal of Computer Integrated Manufacturing, 0 (0), pp. 1-9, 2022, ISSN: 0951-192X. |
Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes Journal Article International Journal of Computer Integrated Manufacturing, 35 (9), pp. 942-950, 2022, ISSN: 0951-192X. |
2021 |
A novel approach to model the flow of generalized Newtonian fluids with the finite pointset method. Journal Article Computational Particle Mechanics, 2021, ISSN: 2196-4386. |
Growth and inequality in the Mexican states:Regimes, thresholds, and traps Journal Article Papers in Regional Science, 100 (5), pp. 29, 2021. |
Evaluación psicológica de profesores y alumnos mexicanos durante la pandemia de COVID-19 mediante técnicas de Machine learning Journal Article Ingeniería Investigación y Tecnología, 22 (4), pp. 1-15, 2021, ISSN: 2594-0732. |
Fully coupled meshfree numerical approach based on the finite pointset method for static linear thermoelasticity problems Journal Article Computational Particle Mechanics, pp. 14, 2021, ISSN: 2196-4386. |
A novel meshfree approach based on the finite pointset method for linear elasticity problems Journal Article Engineering Analysis with Boundary Elements, 136 , pp. 172-185, 2021, ISSN: 0955-7997. |
Application of multi-trait Bayesian decision theory for parental genomic selection Journal Article 11 (2), pp. 14, 2021, ISSN: 2160-1836. |
34 (1), pp. 34, 2021, ISSN: 0120-338X. |
2020 |
Synchronization of globalized economies Journal Article University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, (1909), pp. 23, 2020, ISSN: 1974-4110. |
Open vehicle routing problem with split deliveries: mathematical formulations and a cutting-plane method Journal Article Oper Res Int J (2020), 2020. |
A Co-evolutionary Model for Human Capital and Innovative Firms Journal Article Games and Dynamics in Economics, pp. 17-32, 2020, ISBN: 978-981-15-3623-6. |
Can income inequality promote democratization? Journal Article Metroeconomica, 71 (3), pp. 510-532, 2020. |
A Hybrid Grasshopper Optimization Algorithm Applied to the Open Vehicle Routing Problem Journal Article Algorithms , 13 (96), 2020. |
Clustering and regime dynamics for economic growth and income inequality, Structural Change and Economic Dynamics Journal Article ELSEVIER, 52 , pp. 99-108, 2020, ISSN: 0954-349X. |
Meshfree numerical approach based on the Finite Pointset Method for static linear elasticity problems Journal Article Computer Methods in Applied Mechanics and Engineering, 372 , pp. 113367, 2020. |
Preparation of PVC/Bi2O3 composites and their evaluation as low energy X-Ray radiation shielding Journal Article Radiation Physics and Chemistry, pp. 109198, 2020. |
Intelligent design in continuous galvanizing process for advanced ultra-high-strength dual-phase steels using back-propagation artificial neural networks and MOAMP-Squirrels search algorithm Journal Article The International Journal of Advanced Manufacturing Technology, pp. 1–12, 2020. |
Metaheuristics and Support Vector Data Description for Fault Detection in Industrial Processes Journal Article Applied Sciences, 10 (24), 2020, ISSN: 2076-3417. |
2019 |
FJSP: Una aplicación para la reducción del tiempo de espera en el proceso de fabricación del perno de seguridad para cargadoras Journal Article Proceeding of the XIX Latin-Iberoamerican Conference on Operation Research, CLAIO 2018, pp. 807-814, 2019, ISBN: 978-612-48146-1-7. |
Research in Computing Science , 148 (7), pp. 37–50, 2019, ISSN: 1870-4069. |
Solving the open vehicle routing problem with capacity and distance constraints with a biased random key genetic algorithm Journal Article Computers & Industrial Engineering, 133 , pp. 207–219, 2019. |
Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis--Taguchi System Journal Article Soft Computing, pp. 1–9, 2019. |
2018 |
Including preventive maintenance activities in an unrelated parallel machine environment with dependent setup times Journal Article Computers & Industrial Engineering, 123 , pp. 364-377, 2018. |
Aplicaciones recientes en la investigación de operaciones Book Universidad Autónoma de Coahuila, Boulevard Venustiano Carranza sin número, Colonia República Oriente, C.P. 25280, Saltillo, Coahuila, México., 2018, ISBN: 978-607-506-350, (Editors : Ada Margarita Álvarez Socarrás, Oliver Avalos Rosales, Irma Delia García Calvillo). |
Emergent explosive synchronization in adaptive complex networks Journal Article Physical Review E, 97 (4), pp. 042301, 2018. |
Recognition of audible disruptive behavior from people with dementia Journal Article Personal and Ubiquitous Computing, pp. 1–13, 2018. |
Fault detection and optimal feature selection in automobile motor-head machining process Journal Article The International Journal of Advanced Manufacturing Technology, 94 (5-8), pp. 2613–2622, 2018. |
2017 |
Mixed integer formulations for the multiple minimum latency problem Journal Article Operational Research, pp. 1–30, 2017. |
Compendio de resultados de investigación aplicada a ingeniería Book Universidad Autónoma del Estado de Coahuila, 2017. |
Aportaciones de ingeniería: Aplicaciones en Cómputo móvil y manufactura integral Book Universidad Autónoma del Estado de Coahuila, 2017. |
Detecting abnormal behaviours of institutionalized older adults through a hybrid-inference approach Journal Article Pervasive and Mobile Computing, 40 , pp. 708–723, 2017. |
Gompertz binary particle swarm optimization and support vector data description system for fault detection and feature selection applied in automotive pedals components Journal Article The International Journal of Advanced Manufacturing Technology, 92 (5-8), pp. 2311–2324, 2017. |
2016 |
Selection of Temporal Lags When Modeling Economic and Financial Processes. Journal Article Nonlinear dynamics, psychology, and life sciences, 20 (4), pp. 445, 2016. |
2015 |
Numerical solution of 3D non-stationary heat conduction problems using the Finite Pointset Method Journal Article International Journal of Heat and Mass Transfer, 87 , pp. 104–110, 2015. |
The International Journal of Advanced Manufacturing Technology, 76 (9-12), pp. 1705–1718, 2015. |
Minimizing customer's waiting time in a vehicle routing problem with unit demands Journal Article Journal of Computer and Systems Sciences International, 54 (6), pp. 866–881, 2015. |
Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders Journal Article ACM Trans. Intell. Syst. Technol., 6 (4), pp. 53:1–53:31, 2015, ISSN: 2157-6904. |
2014 |
Application of the Finite Pointset Method to non-stationary Heat Conduction Problems Journal Article International Journal of Heat and Mass Transfer - ELSEVIER, 71 , pp. 720-23, 2014. |
Nonparametric correlation integral--based tests for linear and nonlinear stochastic processes Journal Article Decisions in Economics and Finance, 37 (1), pp. 181–193, 2014. |
Enhancing variable neighborhood search by adding memory: Application to a real logistic problem Journal Article Knowledge-Based Systems, 62 , pp. 28–37, 2014. |