COMUNICACIÓN Y DIVULGACIÓN CIENTÍFICA

Daniel Molina Cabrera

Highly Cited Researcher

Universidad de Granada

Publicaciones

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects

IEEE Transactions on Evolutionary Computation

2025
journal-article

10.1109/TEVC.2025.3530096

The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways

Swarm and Evolutionary Computation

2025
journal-article

10.1016/j.swevo.2025.102063

EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks

Neural Networks

2023
journal-article

10.1016/j.neunet.2022.10.011

Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness

Applied Soft Computing

2023
journal-article

10.1016/j.asoc.2023.110757

A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems

Applied Soft Computing

2022
journal-article

10.1016/j.asoc.2021.108357

NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL

DYNA

2022
journal-article

10.6036/10331

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Applied Intelligence

2021
journal-article

10.1007/s10489-021-02264-y

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

Swarm and Evolutionary Computation

2021
journal-article

10.1016/j.swevo.2021.100973

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

Swarm and Evolutionary Computation

2021
journal-article

10.1016/j.swevo.2021.100888

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

Information Fusion

2021
journal-article

10.1016/j.inffus.2020.10.014

More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems

IEEE Symposium Series on Computational Intelligence

2021
conference-paper

10.1109/SSCI50451.2021.9660030

Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

Sustainability (Switzerland)

2021
journal-article

10.3390/su13116038

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

Cognitive Computation

2020
journal-article

10.1007/s12559-020-09730-8

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Information Fusion

2020
journal-article

10.1016/j.inffus.2019.12.012

On the Role of Execution Order in Hybrid Evolutionary Algorithms

2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

2020
conference-paper

10.1109/CEC48606.2020.9185676

Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D–2D Comparative Radiography

Applied Soft Computing

2020
journal-article

10.1016/j.asoc.2020.106793

A novel memetic framework for enhancing differential evolution algorithms via combination with alopex local search

International Journal of Computational Intelligence Systems

2019
journal-article

10.2991/ijcis.d.190711.001

Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

2019
conference-paper

10.1109/CEC.2019.8789916

Bio-inspired computation: Where we stand and what’s next

Swarm and Evolutionary Computation

2019
journal-article

10.1016/j.swevo.2019.04.008

Comparing Large-Scale Global Optimization Competition winners in a real-world problem

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

2019
conference-paper

10.1109/CEC.2019.8789943

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions

Cognitive Computation

2018
journal-article

10.1007/s12559-018-9554-0

SHADE with Iterative Local Search for Large-Scale Global Optimization

2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2018
conference-paper

10.1109/CEC.2018.8477755

Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy

2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2018
conference-paper

10.1109/CEC.2018.8477924

Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?

2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

2017
conference-paper

10.1109/CEC.2017.7969392

Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis’s weakness

Soft Computing

2017
journal-article

10.1007/s00500-016-2471-9

A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization

2016 IEEE Congress on Evolutionary Computation, CEC 2016

2016
conference-paper

10.1109/CEC.2016.7744242

Memetic Algorithms with Local Search Chains in R: The Rmalschains Package

Journal of Statistical Software

2016
journal-article

10.18637/jss.v075.i04

Region-based memetic algorithm with archive for multimodal optimisation

Information Sciences

2016
journal-article

10.1016/j.ins.2016.05.049

A high performance memetic algorithm for extremely high-dimensional problems

Information Sciences

2015
journal-article

10.1016/j.ins.2014.09.018

A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends

International Journal of Computational Intelligence Systems

2015
journal-article

10.1080/18756891.2015.1046324

Iterative hybridization of de with Local Search for the CEC’2015 special session on large scale global optimization

2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

2015
conference-paper

10.1109/CEC.2015.7257127

Performance evaluation of automatically tuned continuous optimizers on different benchmark sets

Applied Soft Computing Journal

2015
journal-article

10.1016/j.asoc.2014.11.006

A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite

Evolutionary Computation

2014
journal-article

10.1162/EVCO_a_00120

Influence of regions on the memetic algorithm for the CEC’2014 Special Session on Real-Parameter Single Objective Optimisation

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

2014
conference-paper

10.1109/CEC.2014.6900536

Region based memetic algorithm for real-parameter optimisation

Information Sciences

2014
journal-article

10.1016/j.ins.2013.11.032

Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization

2013 IEEE Congress on Evolutionary Computation, CEC 2013

2013
conference-paper

10.1109/CEC.2013.6557797

Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization

2013 IEEE Congress on Evolutionary Computation, CEC 2013

2013
conference-paper

10.1109/CEC.2013.6557557

Adaptive GRASP for the maximum diversity problem

Expert Systems with Applications

2012
journal-article

10.1016/j.eswa.2012.01.064

An ACO algorithm benchmarked on the BBOB noiseless function testbed

GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion

2012
conference-paper

10.1145/2330784.2330809

Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions

AUTHORS: Herrera, Francisco, Marin, Jesus, Molina, Daniel

Soft Computing

2012
journal-article

10.1007/s00500-011-0745-9

Optimising real parameters using the information of a mesh of solutions: VMO algorithm

2012 IEEE Congress on Evolutionary Computation, CEC 2012

2012
conference-paper

10.1109/CEC.2012.6252873

Region based memetic algorithm with LS chaining

2012 IEEE Congress on Evolutionary Computation, CEC 2012

2012
conference-paper

10.1109/CEC.2012.6256529

Time series modeling and forecasting using memetic algorithms for regime-switching models

IEEE Transactions on Neural Networks and Learning Systems

2012
journal-article

10.1109/TNNLS.2012.2216898

Variable mesh optimization for continuous optimization problems

AUTHORS: Bello, Rafael, Herrera, Francisco, Molina, Daniel, Puris, Amilkar

Soft Computing

2012
journal-article

10.1007/s00500-011-0753-9

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Swarm and Evolutionary Computation

2011
journal-article

10.1016/j.swevo.2011.02.002

A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters

Applied Intelligence

2011
journal-article

10.1007/s10489-011-0288-x

Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems

AUTHORS: Herrera, F., Lozano, M., Molina, D.

Soft Computing

2011
journal-article

10.1007/s00500-010-0639-2

Iterated greedy for the maximum diversity problem

European Journal of Operational Research

2011
journal-article

10.1016/j.ejor.2011.04.018

Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains

AUTHORS: Herrera, Francisco, Lozano, Manuel, Molina, Daniel, Sanchez, Ana M.

Soft Computing

2011
journal-article

10.1007/s00500-010-0647-2

MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

2010
conference-paper

10.1109/CEC.2010.5586034

Memetic algorithms for continuous optimisation based on local search chains

Evolutionary Computation

2010
journal-article

10.1162/evco.2010.18.1.18102

Memetic Algorithms for Continuous Optimisation Based on Local Search Chains

Evolutionary Computation

2010
journal-article

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

AUTHORS: Garcia, S, Herrera, F, Lozano, M, Molina, D

Journal of Heuristics

2009
journal-article

10.1007/s10732-008-9080-4

Memetic algorithm with local search chaining for continuous optimization problems: A scalability test

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

2009
conference-paper

10.1109/ISDA.2009.143

Memetic algorithm with local search chaining for large scale continuous optimization problems

2009 IEEE Congress on Evolutionary Computation, CEC 2009

2009
conference-paper

10.1109/CEC.2009.4983031

Global and local real-coded genetic algorithms based on parent-centric crossover operators

AUTHORS: Garcia-Martinez, C, Herrera, F, Lozano, M, Molina, D, Sanchez, AM

European Journal of Operational Research

2008
journal-article

10.1016/j.ejor.2006.06.043

Real-parameter crossover operators with multiple descendents: An experimental study

AUTHORS: Garcia-Martinez, C, Herrera, F, Lozano, M, Molina, D, Sanchez, AM

International Journal of Intelligent Systems

2008
journal-article

10.1002/int.20258

A local genetic algorithm for binary-coded problems

Lecture Notes in Computer Science

2006
journal-article

10.1007/11844297_20

Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies

AUTHORS: Herrera, F, Lozano, M, Molina, D

European Journal of Operational Research

2006
journal-article

10.1016/j.ejor.2004.08.009

Adaptive local search parameters for real-coded memetic algorithms

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

2005
conference-paper

Real-coded memetic algorithms with crossover hill-climbing

Evolutionary Computation

2004
journal-article

10.1162/1063656041774983

Real-coded memetic algorithms with crossover hill-climbing

Evolutionary Computation

2004
journal-article

Contacto

dmolina@decsai.ugr.es