Follow
Daniel Molina Cabrera
Daniel Molina Cabrera
Computer Science, Granada University
Verified email at decsai.ugr.es
Title
Cited by
Cited by
Year
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
J Derrac, S García, D Molina, F Herrera
Swarm and Evolutionary Computation 1 (1), 3-18, 2011
36732011
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ...
Information fusion 58, 82-115, 2020
25782020
A study on the use of non-parametric tests for analyzing the evolutionary algorithmsą behaviour: a case study on the CECą2005 special session on real parameter optimization
S García, D Molina, M Lozano, F Herrera
Journal of Heuristics 15 (6), 617-644, 2009
15222009
A study on the use of non-parametric tests for analyzing the evolutionary algorithmsą behaviour: a case study on the CECą2005 special session on real parameter optimization
S Garcıa, D Molina, M Lozano, F Herrera
Journal of Heuristics 15 (6), 617-644, 2009
4492009
Real-coded memetic algorithms with crossover hill-climbing
M Lozano, F Herrera, N Krasnogor, D Molina
Evolutionary computation 12 (3), 273-302, 2004
4162004
Bio-inspired computation: Where we stand and what's next
J Del Ser, E Osaba, D Molina, XS Yang, S Salcedo-Sanz, D Camacho, ...
Swarm and Evolutionary Computation 48, 220-250, 2019
3282019
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
2662008
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
1982010
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization
D Molina, M Lozano, F Herrera
IEEE congress on evolutionary computation, 1-8, 2010
1672010
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems
M Lozano, D Molina, F Herrera
Soft Computing 15 (11), 2085-2087, 2011
1542011
Adaptive local search parameters for real-coded memetic algorithms
D Molina, F Herrera, M Lozano
2005 IEEE Congress on Evolutionary Computation 1, 888-895, 2005
1392005
Test suite for the special issue of soft computing on scalability of evolutionary algorithms and other metaheuristics for large scale continuous optimization problems
F Herrera, M Lozano, D Molina
Last accessed: July, 2010
1222010
Continuous scatter search: an analysis of the integration of some combination methods and improvement strategies
F Herrera, M Lozano, D Molina
European Journal of Operational Research 169 (2), 450-476, 2006
1152006
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains
D Molina, M Lozano, AM Sánchez, F Herrera
Soft Computing 15 (11), 2201-2220, 2011
1082011
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
D Molina, J Poyatos, JD Ser, S García, A Hussain, F Herrera
Cognitive Computation 12 (5), 897-939, 2020
1022020
A walk into metaheuristics for engineering optimization: principles, methods and recent trends
N Xiong, D Molina, ML Ortiz, F Herrera
international journal of computational intelligence systems 8 (4), 606-636, 2015
732015
Iterated greedy for the maximum diversity problem
M Lozano, D Molina, C Garcı
European Journal of Operational Research 214 (1), 31-38, 2011
682011
Variable mesh optimization for continuous optimization problems
A Puris, R Bello, D Molina, F Herrera
Soft Computing 16 (3), 511-525, 2012
632012
An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions
D Molina, A LaTorre, F Herrera
Cognitive Computation 10 (4), 517-544, 2018
622018
SHADE with iterative local search for large-scale global optimization
D Molina, A LaTorre, F Herrera
2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018
562018
The system can't perform the operation now. Try again later.
Articles 1–20