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DANIEL
MOLINA CABRERA
PROFESOR TITULAR DE UNIVERSIDAD
Publicaciones (64) Publicaciones de DANIEL MOLINA CABRERA
2024
2023
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EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
Neural Networks, Vol. 158, pp. 59-82
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Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
Applied Soft Computing, Vol. 147
2022
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A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems
Applied Soft Computing, Vol. 117
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Optimización inspirada en la naturaleza y en la biología: lo bueno, lo malo, lo feo y lo esperanzador
Revista DYNA, Vol. 97, Núm. 2, pp. 114-117
2021
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A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
Swarm and Evolutionary Computation, Vol. 64
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A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
Applied Intelligence, Vol. 51, Núm. 9, pp. 6497-6527
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A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
Swarm and Evolutionary Computation, Vol. 67
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Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Information Fusion, Vol. 67, pp. 161-194
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More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems
2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
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Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys
Sustainability (Switzerland), Vol. 13, Núm. 11
2020
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Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Cognitive Computation, Vol. 12, Núm. 5, pp. 897-939
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Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Information Fusion, Vol. 58, pp. 82-115
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On the Role of Execution Order in Hybrid Evolutionary Algorithms
2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings
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Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D–2D Comparative Radiography
Applied Soft Computing Journal, Vol. 97
2019
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A novel memetic framework for enhancing differential evolution algorithms via combination with alopex local search
International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 795-808
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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
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Bio-inspired computation: Where we stand and what's next
Swarm and Evolutionary Computation, Vol. 48, pp. 220-250
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Comparing Large-Scale Global Optimization Competition winners in a real-world problem
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings
2018
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An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions
Cognitive Computation, Vol. 10, Núm. 4, pp. 517-544