Daniel Molina Cabrera

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Francisco HerreraProfessor Computer Science and AI, Granada University, SpainVerified email at decsai.ugr.es
Javier (Javi) Del SerResearch Professor in Artificial Intelligence (TECNALIA), 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
Eneko OsabaTECNALIA Research & InnovationVerified email at tecnalia.com
Antonio LaTorreAssociate Professor, Universidad Politécnica de MadridVerified email at upm.es
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Carlos García-MartínezComputing and Numerical Analysis, University of CórdobaVerified email at uco.es
Carlos A. Coello CoelloProfessor of Computer Science, CINVESTAV-IPNVerified email at cs.cinvestav.mx
Ana Mª SanchezDepartament of Software Engineering, University of GranadaVerified email at ugr.es
Sancho Salcedo-SanzCatedrático de Universidad (Full Professor), Universidad de AlcaláVerified email at uah.es
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Center for Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
Swagatam DasProfessor, Electronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
David CamachoUniversidad Politécnica de MadridVerified email at upm.es
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
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
Tianjun LiaoPhD, IRIDIA, Université libre de BruxellesVerified email at ulb.ac.be
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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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	5436	2020
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	4623	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, 617-644, 2009	1684	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	482	2009
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	481	2019
Real-coded memetic algorithms with crossover hill-climbing M Lozano, F Herrera, N Krasnogor, D Molina Evolutionary computation 12 (3), 273-302, 2004	431	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	293	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	206	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	189	2010
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, 897-939, 2020	172	2020
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems M Lozano, D Molina, F Herrera Soft Computing 15, 2085-2087, 2011	167	2011
A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems E Osaba, E Villar-Rodriguez, J Del Ser, AJ Nebro, D Molina, A LaTorre, ... Swarm and Evolutionary Computation 64, 100888, 2021	150	2021
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	140	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	124	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	116	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, 2201-2220, 2011	115	2011
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects I Palomares, E Martínez-Cámara, R Montes, P García-Moral, M Chiachio, ... Applied Intelligence 51, 6497-6527, 2021	102	2021
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	93	2018
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, 517-544, 2018	91	2018
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	90	2015

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