Daniel Molina
Orcid: 0000-0002-4175-2204
According to our database1,
Daniel Molina
authored at least 71 papers
between 2004 and 2025.
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Bibliography
2025
The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways.
Swarm Evol. Comput., 2025
2024
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion, March, 2024
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR, 2024
2023
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness.
Appl. Soft Comput., November, 2023
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Neural Networks, January, 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR, 2023
2022
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems.
Appl. Soft Comput., 2022
2021
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput., 2021
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Appl. Intell., 2021
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput., 2020
Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D-2D Comparative Radiography.
Appl. Soft Comput., 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Geo-Distributed Simulation and Verification Infrastructure for safe train Galileo-based positioning.
Proceedings of the European Navigation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst., 2019
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks.
CoRR, 2019
Comparing Large-Scale Global Optimization Competition winners in a real-world problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.
Cogn. Comput., 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness.
Soft Comput., 2017
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Inf. Sci., 2016
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Inf. Sci., 2015
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends.
Int. J. Comput. Intell. Syst., 2015
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets.
Appl. Soft Comput., 2015
Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Evol. Comput., 2014
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Networks Learn. Syst., 2012
Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions.
Soft Comput., 2012
Validation of reference laboratories to put in service Railway projects (tracks and trains).
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Optimising real parameters using the information of a mesh of solutions: VMO algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.
Swarm Evol. Comput., 2011
Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains.
Soft Comput., 2011
Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems.
Soft Comput., 2011
Appl. Intell., 2011
2010
Evol. Comput., 2010
MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
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.
J. Heuristics, 2009
Proceedings of the Metadata and Semantic Research - Third International Conference, 2009
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Memetic algorithm with Local search chaining for large scale continuous optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Int. J. Intell. Syst., 2008
Global and local real-coded genetic algorithms based on parent-centric crossover operators.
Eur. J. Oper. Res., 2008
Proceedings of the Advances in Digital Forensics IV, 2008
Proceedings of the Hybrid Metaheuristics, 5th International Workshop, 2008
2006
Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies.
Eur. J. Oper. Res., 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004