Daniel Molina Cabrera

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Francisco HerreraProfessor Computer Science and AI, Granada Univ.; Senior Associate Researcher in DL&ML at Sherpa.aiVerified email at decsai.ugr.es
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
Javier Del SerResearch Professor in Artificial Intelligence (TECNALIA), adjunct professor (UPV/EHU)Verified email at tecnalia.com
Carlos García-MartínezComputing and Numerical Analysis, University of CórdobaVerified email at uco.es
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Ana Mª SanchezDepartament of Software Engineering, University of GranadaVerified email at ugr.es
Antonio LaTorreAssociate Professor, Universidad Politécnica de MadridVerified email at upm.es
Eneko OsabaTECNALIA Research & InnovationVerified email at tecnalia.com
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
Carlos A. Coello CoelloProfessor of Computer Science, CINVESTAV-IPNVerified email at cs.cinvestav.mx
Benjamin LacroixRobert Gordon UniversityVerified email at rgu.ac.uk
Swagatam DasElectronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
David CamachoUniversidad Politécnica de MadridVerified email at upm.es
Dr. P. N. Suganthan (SCI Highly Cited...EEE, NTU (Honorary Doctorate, Uni. of Maribor, 2020; BA, MA, Uni. of Cambridge, UK)Verified email at ntu.edu.sg
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
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Thomas StützleF.R.S.-FNRS Research Director, Université Libre de Bruxelles (ULB)Verified email at ulb.ac.be

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	3038	2011
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	1503	2009
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	927	2020
Real-coded memetic algorithms with crossover hill-climbing M Lozano, F Herrera, N Krasnogor, D Molina Evolutionary computation 12 (3), 273-302, 2004	401	2004
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	255	2008
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	209	2019
Memetic algorithms for continuous optimisation based on local search chains D Molina, M Lozano, C García-Martínez, F Herrera Evolutionary computation 18 (1), 27-63, 2010	192	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	153	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	146	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	133	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	111	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	108	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	99	2011
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	66	2015
Variable mesh optimization for continuous optimization problems A Puris, R Bello, D Molina, F Herrera Soft Computing 16 (3), 511-525, 2012	62	2012
Iterated greedy for the maximum diversity problem M Lozano, D Molina, C Garcı European Journal of Operational Research 214 (1), 31-38, 2011	62	2011
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	48	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	41	2017
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization S Salcedo-Sanz, C Camacho-Gómez, D Molina, F Herrera 2016 IEEE Congress on Evolutionary Computation (CEC), 3574-3581, 2016	37	2016
Variable mesh optimization for the 2013 CEC special session niching methods for multimodal optimization D Molina, A Puris, R Bello, F Herrera 2013 IEEE Congress on Evolutionary Computation, 87-94, 2013	37	2013

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