Máximo Méndez Babey
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Multiple-objective genetic algorithm using the multiple criteria decision making method topsis
M Méndez, B Galván, D Salazar, D Greiner
Multiobjective Programming and Goal Programming: Theoretical Results and …, 2009
Propuesta de mejoramiento del proceso de compras, teniendo en cuenta su integración con los procesos comercial y planeación de producción para la empresa Artprint Ltda
J Barrios, M Méndez
Bogotá, Colombia: Pontificia Universidad Javeriana, 2012
The role of artificial neural networks in evolutionary optimisation: a review
M Maarouf, A Sosa, B Galván, D Greiner, G Winter, M Mendez, R Aguasca
Advances in evolutionary and deterministic methods for design, optimization …, 2015
Comparative analysis of rainfall prediction models using machine learning in islands with complex orography: Tenerife Island
R Aguasca-Colomo, D Castellanos-Nieves, M Méndez
Applied Sciences 9 (22), 4931, 2019
Cultura tributaria y contribuyentes
M Méndez, C Morales, C Aguilera
Venezuela: Mérida 226, 2005
Comparison of multiobjective evolutionary algorithms for operations scheduling under machine availability constraints
M Frutos, M Méndez, F Tohmé, D Broz
The Scientific World Journal 2013, 2013
New evolutionary methodologies for integrated safety system design and maintenance optimization
B Galván, G Winter, D Greiner, D Salazar, M Méndez
Computational Intelligence in Reliability Engineering: Evolutionary …, 2007
Cultura Tributaria
M Méndez
Deberes y Derechos vs Constitución de, 1999
Proposal and comparative study of evolutionary algorithms for optimum design of a gear system
M Mendez, DA Rossit, B González, M Frutos
IEEE Access 8, 3482-3497, 2019
Introducing reference point using g-dominance in optimum design considering uncertainties: an application in structural engineering
D Greiner, B Galván, JM Emperador, M Méndez, G Winter
Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO …, 2011
Topsis decision on approximate pareto fronts by using evolutionary algorithms: Application to an engineering design problem
M Méndez, M Frutos, F Miguel, R Aguasca-Colomo
Mathematics 8 (11), 2072, 2020
A decision support tool for urban freight transport planning based on a multi-objective evolutionary algorithm
F Miguel, M Frutos, F Tohmé, MM Babey
IEEE Access 7, 156707-156721, 2019
New Trends in Evolutionary Optimization and its Impact on Dependability Problems
G Winter, B Galván, S Alonso, M Mendez
Evolutionary and Deterministic Methods for Design, Optimization and Control …, 2005
Integrating packing and distribution problems and optimization through mathematical programming
F Miguel, M Frutos, F Tohmé, M Méndez
Decision Science Letters, 2016
Algoritmos evolutivos y preferencia del decisor aplicados a problemas de optimización multiobjetivos discretos
M Méndez Babey
Fundamentos de Ayuda Multicriterio a la Decisión
M Méndez, AL Alamo, M Frutos, R Aguasca
ISBN: 84-95084-07-04 1, 54, 2014
Order batching and order picking with 3D positioning of the articles: solution through a hybrid evolutionary algorithm
FM Miguel, M Frutos, M Méndez, F Tohmé
aimspress, 2022
Objective space division-based hybrid evolutionary algorithm for handing overlapping solutions in combinatorial problems
B González, DA Rossit, M Méndez, M Frutos
Mathematical Biosciences and Engineering, 2022
Solving Order Batching/Picking Problems with an Evolutionary Algorithm
FT Fabio M. Miguel, Mariano Frutos, Máximo Méndez
Production Research, 177-186, 2021
Multi-objective evolutionary algorithms using the working point and the TOPSIS method
M Méndez, B Galván
Computer Aided Systems Theory–EUROCAST 2007: 11th International Conference …, 2007
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