An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows A Garcia-Najera, JA Bullinaria Computers & Operations Research 38 (1), 287-300, 2011 | 267 | 2011 |
An evolutionary approach for multi-objective vehicle routing problems with backhauls A García-Nájera, JA Bullinaria, MA Gutiérrez-Andrade Computers & Industrial Engineering 81, 90-108, 2015 | 64 | 2015 |
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization S Zapotecas-Martínez, A López-Jaimes, A García-Nájera Swarm and Evolutionary Computation 44, 404-419, 2019 | 54 | 2019 |
Multi-objective grey wolf optimizer based on decomposition S Zapotecas-Martínez, A García-Nájera, A López-Jaimes Expert Systems with Applications 120, 357-371, 2019 | 53 | 2019 |
A survey on the Software Project Scheduling Problem MÁ Vega-Velázquez, A García-Nájera, H Cervantes International Journal of Production Economics 202, 145-161, 2018 | 45 | 2018 |
Bi-objective optimization for the vehicle routing problem with time windows: Using route similarity to enhance performance A Garcia-Najera, JA Bullinaria Evolutionary Multi-Criterion Optimization, 275-289, 2009 | 35 | 2009 |
An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem A García-Nájera, A López-Jaimes Swarm and Evolutionary Computation 38, 218-230, 2018 | 24 | 2018 |
Extending ACOR to solve multi-objective problems A Garcia-Najera Proceedings of the 2007 UK Workshop on Computation Intelligence (UKCI …, 2007 | 23 | 2007 |
Analysis of the multi-objective cluster head selection problem in WSNs A García-Nájera, S Zapotecas-Martínez, K Miranda Applied Soft Computing 112, 107853, 2021 | 16 | 2021 |
Preserving population diversity for the multi-objective vehicle routing problem with time windows A Garcia-Najera Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 16 | 2009 |
The vehicle routing problem with backhauls: a multi-objective evolutionary approach A Garcia-Najera Evolutionary Computation in Combinatorial Optimization: 12th European …, 2012 | 15 | 2012 |
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems S Zapotecas-Martínez, A García-Nájera, A Menchaca-Méndez Engineering Applications of Artificial Intelligence 123, 106192, 2023 | 14 | 2023 |
A Comparison of Bio-Inspired Approaches for the Cluster-Head Selection Problem in WSN K Miranda, S Zapotecas-Martínez, A López-Jaimes, A García-Nájera Advances in Nature-Inspired Computing and Applications, 165-187, 2019 | 12 | 2019 |
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows A Garcia-Najera, JA Bullinaria Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 12 | 2009 |
A multi-objective evolutionary approach for the electric vehicle charging stations problem S Zapotecas-Martínez, R Armas, A García-Nájera Expert Systems with Applications 240, 122514, 2024 | 11 | 2024 |
An evolutionary approach to the multi-objective pickup and delivery problem with time windows A Garcia-Najera, MÁ Gutiérrez-Andrade 2013 IEEE Congress on Evolutionary Computation, 997-1004, 2013 | 11 | 2013 |
PCB assembly: an efficient genetic algorithm for slot assignment and component pick and place sequence problems A Garcia-Najera, CA Brizuela 2005 IEEE Congress on Evolutionary Computation 2, 1485-1492, 2005 | 11 | 2005 |
Multi-objective optimization in the agile software project scheduling using decomposition S Zapotecas-Martínez, A García-Nájera, H Cervantes Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 10 | 2020 |
An efficient genetic algorithm for setup time minimization in PCB assembly A García-Nájera, CA Brizuela, IM Martínez-Pérez The International Journal of Advanced Manufacturing Technology 77 (5), 973-989, 2015 | 10 | 2015 |
A Multi-objective Genetic Algorithm for the Software Project Scheduling Problem A García-Nájera, MC Gómez-Fuentes Nature-Inspired Computation and Machine Learning, 13-24, 2014 | 10 | 2014 |