Daniel Molina Cabrera - Google Scholar Citations

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Citations	5414	3498
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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
Manuel LozanoDept. Computer Science and A.I. - University GranadaVerified email at decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Carlos García-MartínezComputing and Numerical Analysis, University of CórdobaVerified email at uco.es
Joaquin Derrac RusData ScientistVerified email at skimlinks.com
Ana Mª SanchezDepartament of Software Engineering, University of GranadaVerified email at ugr.es
Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
Benjamin LacroixRobert Gordon UniversityVerified email at rgu.ac.uk
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Rafael BelloProfessor of Computer Science, Universidad Central "Marta Abreu" de Las Villas Verified email at uclv.edu.cu
Amilkar Yudier Puris CáceresProfessor of Computer Science, Universidad Técnica Estatal de QuevedoVerified email at uteq.edu.ec
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
Antonio LaTorreAssistant Professor, Universidad Politécnica de MadridVerified email at upm.es
Sancho Salcedo-SanzCatedrático de Universidad (Full Professor), Universidad de AlcaláVerified email at uah.es
Javier Del SerResearch Professor, TECNALIA, UPV/EHU, BCAM, Sherpa.aiVerified email at tecnalia.com
Christoph BergmeirMonash UniversityVerified email at monash.edu
Ning XiongMalardalen UniversityVerified email at mdh.se
Marco A. Montes de OcaXandr & Northeastern UniversityVerified email at montes-de-oca.com
Swagatam DasElectronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in

Daniel Molina Cabrera

Computer Science, Granada University

Verified email at decsai.ugr.es

Soft Computing Evolutionary Algorithms Computational Intelligence Optimization


Title	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	2128	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, 2009	1248	2009
Real-coded memetic algorithms with crossover hill-climbing M Lozano, F Herrera, N Krasnogor, D Molina Evolutionary computation 12 (3), 273-302, 2004	362	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	214	2008
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	168	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	128	2011
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	126	2010
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	125	2005
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	102	2006
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	94	2010
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	79	2011
Iterated greedy for the maximum diversity problem M Lozano, D Molina, C Garcı European Journal of Operational Research 214 (1), 31-38, 2011	57	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	48	2015
Variable mesh optimization for continuous optimization problems A Puris, R Bello, D Molina, F Herrera Soft Computing 16 (3), 511-525, 2012	47	2012
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	38	2019
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	29	2013
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	27	2017
A high performance memetic algorithm for extremely high-dimensional problems M Lastra, D Molina, JM Benítez Information Sciences 293, 35-58, 2015	27	2015
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	26	2018
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets T Liao, D Molina, T Stützle Applied Soft Computing 27, 490-503, 2015	25	2015

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