Daniel Molina Cabrera

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Francisco HerreraProfessor Computer Science and AI, Granada University, SpainVerified email at decsai.ugr.es
Javier Del SerResearch Professor in Artificial Intelligence (TECNALIA), adjunct professor (UPV/EHU)Verified email at tecnalia.com
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Manuel LozanoDept. Computer Science and A.I. - University GranadaVerified email at decsai.ugr.es
Carlos García-MartínezComputing and Numerical Analysis, University of CórdobaVerified email at uco.es
Eneko OsabaTECNALIA Research & InnovationVerified email at tecnalia.com
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Antonio LaTorreAssociate Professor, Universidad Politécnica de MadridVerified email at upm.es
Ana Mª SanchezDepartament of Software Engineering, University of GranadaVerified email at ugr.es
Carlos A. Coello CoelloProfessor of Computer Science, CINVESTAV-IPNVerified email at cs.cinvestav.mx
Sancho Salcedo-SanzCatedrático de Universidad (Full Professor), Universidad de AlcaláVerified email at uah.es
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
(R)Prof. P. N. Suganthan, FIEEE'2015,...KINDI Centre for Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
Swagatam DasElectronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
David CamachoUniversidad Politécnica de MadridVerified email at upm.es
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Verified email at ulb.ac.be
Tianjun LiaoPhD, IRIDIA, Université libre de BruxellesVerified email at ulb.ac.be
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Rafael BelloProfessor of Computer Science, Universidad Central "Marta Abreu" de Las VillasVerified email at uclv.edu.cu
Amilkar Yudier Puris CáceresProfessor of Computer Science, Universidad Técnica Estatal de QuevedoVerified email at uteq.edu.ec

Daniel Molina Cabrera

Computer Science, Granada University

Verified email at decsai.ugr.es

Soft Computing Evolutionary Algorithms Computational Intelligence Optimization


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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	3683	2011
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	2618	2020
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization S García, D Molina, M Lozano, F Herrera Journal of Heuristics 15 (6), 617-644, 2009	1527	2009
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization S Garcıa, D Molina, M Lozano, F Herrera Journal of Heuristics 15 (6), 617-644, 2009	450	2009
Real-coded memetic algorithms with crossover hill-climbing M Lozano, F Herrera, N Krasnogor, D Molina Evolutionary computation 12 (3), 273-302, 2004	417	2004
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	331	2019
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	267	2008
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	198	2010
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	167	2010
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	154	2011
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	139	2005
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	122	2010
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	115	2006
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	108	2011
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	103	2020
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	73	2015
Iterated greedy for the maximum diversity problem M Lozano, D Molina, C Garcı European Journal of Operational Research 214 (1), 31-38, 2011	68	2011
Variable mesh optimization for continuous optimization problems A Puris, R Bello, D Molina, F Herrera Soft Computing 16 (3), 511-525, 2012	63	2012
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	62	2018
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	56	2018

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