A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP C García-Martínez, O Cordón, F Herrera European Journal of Operational Research 180 (1), 116-148, 2007 | 388 | 2007 |
Global and local real-coded genetic algorithms based on parent-centric crossover operators C García-Martínez, M Lozano, F Herrera, D Molina, AM Sánchez European Journal of Operational Research 185 (3), 1088-1113, 2008 | 302 | 2008 |
Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report M Lozano, C García-Martínez Computers & Operations Research 37 (3), 481-497, 2010 | 251 | 2010 |
Memetic algorithms for continuous optimisation based on local search chains D Molina, M Lozano, C Garcia-Martinez, F Herrera Evolutionary computation 18 (1), 27-63, 2010 | 208 | 2010 |
Hybrid metaheuristics based on evolutionary algorithms and simulated annealing: taxonomy, comparison, and synergy test FJ Rodriguez, C Garcia-Martinez, M Lozano IEEE Transactions on Evolutionary Computation 16 (6), 787-800, 2012 | 112 | 2012 |
An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem FJ Rodriguez, M Lozano, C Blum, C GarcíA-MartíNez Computers & Operations Research 40 (7), 1829-1841, 2013 | 98 | 2013 |
An artificial bee colony algorithm for the maximally diverse grouping problem FJ Rodriguez, M Lozano, C García-Martínez, JD GonzáLez-Barrera Information Sciences 230, 183-196, 2013 | 88 | 2013 |
Genetic algorithms C García-Martínez, FJ Rodriguez, M Lozano Handbook of heuristics, 431-464, 2018 | 87 | 2018 |
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness C García-Martínez, PD Gutiérrez, D Molina, M Lozano, F Herrera Soft Computing 21 (19), 5573-5583, 2017 | 83 | 2017 |
An empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP C García-Martínez, O Cordón, F Herrera International Workshop on Ant Colony Optimization and Swarm Intelligence, 61-72, 2004 | 82 | 2004 |
Hybrid real-coded genetic algorithms with female and male differentiation C García-Martínez, M Lozano 2005 IEEE Congress on Evolutionary Computation 1, 896-903, 2005 | 74 | 2005 |
Optimizing network attacks by artificial bee colony M Lozano, C Garcia-Martinez, FJ Rodriguez, HM Trujillo Information Sciences 377, 30-50, 2017 | 68 | 2017 |
Tabu-enhanced iterated greedy algorithm: a case study in the quadratic multiple knapsack problem C García-Martínez, FJ Rodriguez, M Lozano European Journal of Operational Research 232 (3), 454-463, 2014 | 66 | 2014 |
Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation C García-Martínez, FJ Rodríguez, M Lozano Soft Computing 15 (11), 2109-2126, 2011 | 48 | 2011 |
Local search based on genetic algorithms C García-Martínez, M Lozano Advances in metaheuristics for hard optimization, 199-221, 2007 | 45 | 2007 |
Arbitrary function optimisation with metaheuristics C Garcia-Martinez, FJ Rodriguez, M Lozano Soft Computing 16 (12), 2115-2133, 2012 | 42* | 2012 |
An alternative artificial bee colony algorithm with destructive–constructive neighbourhood operator for the problem of composing medical crews JA Delgado-Osuna, M Lozano, C García-Martínez Information Sciences 326, 215-226, 2016 | 36 | 2016 |
An artificial bee colony algorithm for the unrelated parallel machines scheduling problem FJ Rodriguez, C García-Martínez, C Blum, M Lozano International Conference on Parallel Problem Solving from Nature, 143-152, 2012 | 36 | 2012 |
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics C García-Martínez, M Lozano Soft Computing 14 (10), 1117-1139, 2010 | 33 | 2010 |
Strategic oscillation for the quadratic multiple knapsack problem C García-Martínez, F Glover, FJ Rodriguez, M Lozano, R Martí Computational Optimization and Applications 58 (1), 161-185, 2014 | 32 | 2014 |