Publikationen (64) Publikationen von DANIEL MOLINA CABRERA

2024

  1. General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

    Information Fusion, Vol. 103

2023

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

    Neural Networks, Vol. 158, pp. 59-82

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

    Applied Soft Computing, Vol. 147

2022

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

    Applied Soft Computing, Vol. 117

  2. 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

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

    Swarm and Evolutionary Computation, Vol. 64

  2. 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

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

    Swarm and Evolutionary Computation, Vol. 67

  4. 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

  5. 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

  6. Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys

    Sustainability (Switzerland), Vol. 13, Núm. 11

2020

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

    Cognitive Computation, Vol. 12, Núm. 5, pp. 897-939

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

    Information Fusion, Vol. 58, pp. 82-115

  3. On the Role of Execution Order in Hybrid Evolutionary Algorithms

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

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

    Applied Soft Computing Journal, Vol. 97

2019

  1. 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

  2. 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

  3. Bio-inspired computation: Where we stand and what's next

    Swarm and Evolutionary Computation, Vol. 48, pp. 220-250

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

    2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

2018

  1. 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