Daniel Molina

78 papers A* 1A 1B 17C 2Journal 47Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
A Risk Analysis of Non-custodial Staking in Ethereum.
BCCA
Daniel Molina, Jordi Herrera-Joancomartí
2025 J jnl
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways.
CoRR
Daniel Molina, Javier Del Ser, Javier Poyatos, Francisco Herrera
2025 J jnl
The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways.
Swarm Evol. Comput.
Daniel Molina, Javier Del Ser, Javier Poyatos, Francisco Herrera
2024 J jnl
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems.
CoRR
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2024 J jnl
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
2024 J jnl
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
2023 J jnl
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Neural Networks
Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera
2023 J jnl
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
2023 J jnl
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness.
CoRR
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
2023 J jnl
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness.
Appl. Soft Comput.
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera
2022 J jnl
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems.
Appl. Soft Comput.
Xiu Liu, Ning Wang, Daniel Molina, Francisco Herrera
2022 J jnl
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks.
CoRR
Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera
2021 J jnl
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput.
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2021 J jnl
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Appl. Intell.
Iván Palomares, Eugenio Martínez-Cámara, Rosana Montes, Pablo García-Moral, Manuel Chiachío, Juan Chiachío, Sergio Alonso, Francisco J. Melero, Daniel Molina, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, Francisco Herrera
2021 J jnl
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput.
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera
2021 J jnl
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
2021 — conf
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
SSCI
Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera
2020 J jnl
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput.
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
2020 J jnl
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
2020 J jnl
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
2020 J jnl
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera
2020 — conf
Geo-Distributed Simulation and Verification Infrastructure for safe train Galileo-based positioning.
ENC
Cosimo Stallo, Alessandro Neri, Pietro Salvatori, Francesco Rispoli, Olivier Desenfans, Juliette Marais, Antonio Aguila, Beatriz Sierra, Ricardo Campo, Daniel Molina, Susana Herranz, Xavier Leblan, Giuseppe Rotondo
2020 A* conf
Learn and Link: Learning Critical Regions for Efficient Planning.
ICRA
Daniel Molina, Kislay Kumar, Siddharth Srivastava
2020 J jnl
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges.
CoRR
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera
2020 B conf
On The Role Of Execution Order In Hybrid Evolutionary Algorithms.
CEC
Antonio LaTorre, Daniel Molina
2020 J jnl
Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D-2D Comparative Radiography.
Appl. Soft Comput.
Óscar Gómez, Óscar Ibáñez, Andrea Valsecchi, Enrique Bermejo Nievas, Daniel Molina, Oscar Cordón
2019 J jnl
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst.
Miguel León Ortiz, Ning Xiong, Daniel Molina, Francisco Herrera
2019 B conf
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization.
CEC
Daniel Molina, Francisco Herrera
2019 J jnl
Bio-inspired computation: Where we stand and what's next.
Swarm Evol. Comput.
Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
2019 B conf
Comparing Large-Scale Global Optimization Competition winners in a real-world problem.
CEC
Daniel Molina, Arthur R. Nesterenko, Antonio LaTorre
2019 J jnl
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.
CoRR
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
2019 J jnl
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks.
CoRR
Daniel Molina, Kislay Kumar, Siddharth Srivastava
2018 J jnl
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.
Cogn. Comput.
Daniel Molina, Antonio LaTorre, Francisco Herrera
2018 B conf
SHADE with Iterative Local Search for Large-Scale Global Optimization.
CEC
Daniel Molina, Antonio LaTorre, Francisco Herrera
2018 B conf
Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy.
CEC
Daniel Molina, Antonio LaTorre
2017 B conf
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?
CEC
Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera
2017 J jnl
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness.
Soft Comput.
Carlos García-Martínez, Pablo David Gutiérrez, Daniel Molina, Manuel Lozano, Francisco Herrera
2016 B conf
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization.
CEC
Sancho Salcedo-Sanz, Carlos Camacho-Gómez, Daniel Molina, Francisco Herrera
2016 J jnl
Region-based memetic algorithm with archive for multimodal optimisation.
Inf. Sci.
Benjamin Lacroix, Daniel Molina, Francisco Herrera
2015 J jnl
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends.
Int. J. Comput. Intell. Syst.
Ning Xiong, Daniel Molina, Miguel León Ortiz, Francisco Herrera
2015 J jnl
A high performance memetic algorithm for extremely high-dimensional problems.
Inf. Sci.
Miguel Lastra, Daniel Molina, José Manuel Benítez
2015 B conf
Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization.
CEC
Daniel Molina, Francisco Herrera
2015 J jnl
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets.
Appl. Soft Comput.
Tianjun Liao, Daniel Molina, Thomas Stützle
2014 J jnl
A Note on Bound Constraints Handling for the IEEE CEC'05 Benchmark Function Suite.
Evol. Comput.
Tianjun Liao, Daniel Molina, Marco Antonio Montes de Oca, Thomas Stützle
2014 B conf
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation.
IEEE Congress on Evolutionary Computation
Daniel Molina, Benjamin Lacroix, Francisco Herrera
2014 J jnl
Region based memetic algorithm for real-parameter optimisation.
Inf. Sci.
Benjamin Lacroix, Daniel Molina, Francisco Herrera
2013 B conf
Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization.
IEEE Congress on Evolutionary Computation
Benjamin Lacroix, Daniel Molina, Francisco Herrera
2013 B conf
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization.
IEEE Congress on Evolutionary Computation
Daniel Molina, Amilkar Puris, Rafael Bello, Francisco Herrera
2012 — conf
An ACO algorithm benchmarked on the BBOB noiseless function testbed.
GECCO (Companion)
Tianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo
2012 C conf
Boreal forest tree height estimation from interferometric TanDEM-X images.
IGARSS
Jaan Praks, Martti Hallikainen, Oleg Antropov, Daniel Molina
2012 J jnl
Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions.
Soft Comput.
Jesús Marín, Daniel Molina, Francisco Herrera
2012 B conf
Optimising real parameters using the information of a mesh of solutions: VMO algorithm.
IEEE Congress on Evolutionary Computation
Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera
2012 B conf
Region based memetic algorithm with LS chaining.
IEEE Congress on Evolutionary Computation
Benjamin Lacroix, Daniel Molina, Francisco Herrera
2012 J jnl
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Networks Learn. Syst.
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
2012 B conf
Validation of reference laboratories to put in service Railway projects (tracks and trains).
Intelligent Vehicles Symposium
Jaime Tamarit, Daniel Molina, Jose Bueno
2012 J jnl
Variable mesh optimization for continuous optimization problems.
Soft Comput.
Amilkar Puris, Rafael Bello, Daniel Molina, Francisco Herrera
2011 J jnl
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.
Swarm Evol. Comput.
Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera
2011 J jnl
A test for the homoscedasticity of the residuals in fuzzy rule-based forecasters.
Appl. Intell.
José Luis Aznarte, Daniel Molina, Ana M. Sánchez, José Manuel Benítez
2011 J jnl
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems.
Soft Comput.
Manuel Lozano, Daniel Molina, Francisco Herrera
2011 J jnl
Iterated greedy for the maximum diversity problem.
Eur. J. Oper. Res.
Manuel Lozano, Daniel Molina, Carlos García-Martínez
2011 J jnl
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains.
Soft Comput.
Daniel Molina, Manuel Lozano, Ana M. Sánchez, Francisco Herrera
2010 B conf
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization.
IEEE Congress on Evolutionary Computation
Daniel Molina, Manuel Lozano, Francisco Herrera
2010 J jnl
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains.
Evol. Comput.
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
2009 — conf
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions.
GECCO (Companion)
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 — conf
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions.
GECCO (Companion)
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 J jnl
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.
J. Heuristics
Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera
2009 C conf
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test.
ISDA
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 B conf
Memetic algorithm with Local search chaining for large scale continuous optimization problems.
IEEE Congress on Evolutionary Computation
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 — conf
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.
LION
Daniel Molina, Manuel Lozano, Francisco Herrera
2009 — conf
VMAP: A Dublin Core Application Profile for Musical Resources.
MTSR
Carlos Angel Iglesias, Mercedes Garijo, Daniel Molina, Paloma de Juan
2008 J jnl
Global and local real-coded genetic algorithms based on parent-centric crossover operators.
Eur. J. Oper. Res.
Carlos García-Martínez, Manuel Lozano, Francisco Herrera, Daniel Molina, Ana M. Sánchez
2008 — conf
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains.
Hybrid Metaheuristics
Daniel Molina, Manuel Lozano, Carlos García-Martínez, Francisco Herrera
2008 J jnl
Real-parameter crossover operators with multiple descendents: An experimental study.
Int. J. Intell. Syst.
Ana M. Sánchez, Manuel Lozano, Carlos García-Martínez, Daniel Molina, Francisco Herrera
2008 — conf
Timely Rootkit Detection During Live Response.
IFIP Int. Conf. Digital Forensics
Daniel Molina, Matthew Zimmerman, Gregory Roberts, Marnita Eaddie, Gilbert L. Peterson
2006 A conf
A Local Genetic Algorithm for Binary-Coded Problems.
PPSN
Carlos García-Martínez, Manuel Lozano, Daniel Molina
2006 J jnl
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies.
Eur. J. Oper. Res.
Francisco Herrera, Manuel Lozano, Daniel Molina
2005 B conf
Adaptive local search parameters for real-coded memetic algorithms.
Congress on Evolutionary Computation
Daniel Molina, Francisco Herrera, Manuel Lozano
2004 J jnl
Real-Coded Memetic Algorithms with Crossover Hill-Climbing.
Evol. Comput.
Manuel Lozano, Francisco Herrera, Natalio Krasnogor, Daniel Molina