Daniel Molina
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View article: Keywork: CE para el Diseño y Mejora de GPAIS: Estudio y Perspectivas
Keywork: CE para el Diseño y Mejora de GPAIS: Estudio y Perspectivas Open
Transparencias de charla para el the XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2025, 28 de Mayo de 2025. Slides in Spanish for the XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y B…
View article: Analysis of the Ballistic Effectiveness of the Hybrid Composite of Polyurethane and Kevlar 29 with Different Grammages
Analysis of the Ballistic Effectiveness of the Hybrid Composite of Polyurethane and Kevlar 29 with Different Grammages Open
In this study, the ballistic effectiveness of Kevlar 29 composites was analyzed by combining 400 and 460 GSM grammages with a polyurethane matrix. Plates measuring 300 mm × 250 mm were fabricated using hand lamination and compression techn…
View article: The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways Open
View article: General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance Open
View article: Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness Open
View article: General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance Open
Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solving a wide array of tasks without being specifically designe…
View article: Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Open
Evolutionary Computation algorithms have been used to solve optimization problems in relation with architectural, hyper-parameter or training configuration, forging the field known today as Neural Architecture Search. These algorithms have…
View article: EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks Open
View article: NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL
NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL Open
Nowadays, optimization has become an important issue for industrial systems and product development. From an engineering perspective, optimization implies adjusting or fine tuning the design of the system considering performance factors. U…
View article: EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks Open
In recent years, Deep Learning models have shown a great performance in complex optimization problems. They generally require large training datasets, which is a limitation in most practical cases. Transfer learning allows importing the fi…
View article: A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms Open
View article: A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects Open
View article: Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys
Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys Open
The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already chan…
View article: A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems Open
View article: Ciudades inteligentes y sostenibles: iniciativas y desafíos
Ciudades inteligentes y sostenibles: iniciativas y desafíos Open
Uno de los grandes retos que los países van a enfrentar en este siglo es la planificación, administración y gobernanza de las ciudades de forma sostenible, maximizando las oportunidades económicas y minimizando los daños medioambientales. …
View article: Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges Open
View article: Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D–2D Comparative Radiography
Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D–2D Comparative Radiography Open
View article: Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical\n Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and\n Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical\n Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and\n Challenges Open
Much has been said about the fusion of bio-inspired optimization algorithms\nand Deep Learning models for several purposes: from the discovery of network\ntopologies and hyper-parametric configurations with improved performance for a\ngive…
View article: A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms Open
Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a growing research topic with many competitive bio-inspired algorithms being proposed every year. In such an active area, preparing a successful propo…
View article: Taxonomy of bio-inspired algorithms
Taxonomy of bio-inspired algorithms Open
In recent years, a great variety of nature and bio-inspired algorithms have been published in the literature. These algorithms simulate some natural or biological processes such as natural evolution, to optimize complex problems. Last year…
View article: Ciudades inteligentes, eficientes y sostenibles
Ciudades inteligentes, eficientes y sostenibles Open
Una ciudad inteligente (CI) y sostenible trata de espacios basados en la eficiencia y el bienestar que utilizan la tecnología como una herramienta fundamental para mejorar las condiciones de vida de la ciudadanía. En este tipo de ciudades …
View article: Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Open
View article: Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Open
In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field. For this to occur, the entire community stands in front of the barrie…
View article: Comparing Large-Scale Global Optimization Competition winners in a real-world problem
Comparing Large-Scale Global Optimization Competition winners in a real-world problem Open
The optimization of thousands of variables, Large-Scale Global Optimization, is a research topic that is obtainingmore and more attention by its applications in engineering andmedical problems. In order to design evolutionary algorithms fo…
View article: Bio-inspired computation: Where we stand and what's next
Bio-inspired computation: Where we stand and what's next Open
View article: A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search Open
Differential evolution (DE) represents a class of population-based optimization techniques that uses differences of vectors to
\nsearch for optimal solutions in the search space. However, promising solutions/regions are not adequately expl…
View article: SHADE with Iterative Local Search for Large-Scale Global Optimization
SHADE with Iterative Local Search for Large-Scale Global Optimization Open
Global optimization is a very important topic in research due to its wide applications in many real-world problems in science and engineering. Among optimization problems, dimensionality is one of the most crucial issues that increases the…
View article: Region-based memetic algorithm with archive for multimodal optimisation
Region-based memetic algorithm with archive for multimodal optimisation Open
View article: Memetic Algorithms with Local Search Chains in <i>R</i>: The <b>Rmalschains</b> Package
Memetic Algorithms with Local Search Chains in <i>R</i>: The <b>Rmalschains</b> Package Open
Global optimization is an important field of research both in mathematics and computer sciences. It has applications in nearly all fields of modern science and engineering. Memetic algorithms are powerful problem solvers in the domain of c…
View article: A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends Open