Daniel Molina - Publications, H-index & Citations

Daniel Molina

University of Granada

28H指数

107论文数

1.9W被引数

收录论文 30

发表时间

The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways 进化与仿生优化的成功悖论：重新审视关键问题、关键研究与方法论路径

Swarm and Evolutionary Computation

IF8.5

2025-07-18

PREAI

Daniel Molina; Javier Del Ser; Javier Poyatos; Francisco Herrera

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects 进化计算在通用人工智能系统的设计与增强中的应用：综述与展望

IEEE Transactions on Evolutionary Computation

IF12

2025-01-30

PREAI

Daniel Molina; Javier Poyatos; Javier Del Ser; Salvador García; Hisao Ishibuchi; Isaac Triguero; Bing Xue; Xin Yao; Francisco Herrera

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance 通用人工智能系统 (GPAIS): 属性，定义，分类，社会影响和负责任的治理

INFORMATION FUSION

IF15.5

2024-03-01

OAAI

Triguero, Isaac; Molina, Daniel; Poyatos, Javier; Del Ser, Javier; Herrera, Francisco

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

APPLIED SOFT COMPUTING

IF6.6

2023-11-01

OAAI

Poyatos, Javier; Molina, Daniel; Martinez-Seras, Aitor; Del Ser, Javier; Herrera, Francisco

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

NEURAL NETWORKS

IF6.3

2023-01-01

OAAI

Poyatos, Javier; Molina, Daniel; Martinez, Aritz D.; Del Ser, Javier; Herrera, Francisco

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

APPLIED SOFT COMPUTING

IF6.6

2022-03-01

PREAI

Liu, Xiu; Wang, Ning; Molina, Daniel; Herrera, Francisco

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms 比较生物启发优化算法的方法指南的处方

SWARM AND EVOLUTIONARY COMPUTATION

IF8.5

2021-12-01

101

OAAI

LaTorre, Antonio; Molina, Daniel; Osaba, Eneko; Poyatos, Javier; Del Ser, Javier; Herrera, Francisco

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems 关于元启发式算法在现实世界优化问题中的设计，实验和应用的教程

SWARM AND EVOLUTIONARY COMPUTATION

IF8.5

2021-07-01

218

PREAI

Osaba, Eneko; Villar-Rodriguez, Esther; Del Ser, Javier; Nebro, Antonio J.; Molina, Daniel; LaTorre, Antonio; Suganthan, Ponnuthurai N.; Coello, Carlos A. Coello; Herrera, Francisco

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects 2030年实现可持续发展目标的人工智能全景与swot分析: 进展与展望

APPLIED INTELLIGENCE

IF3.5

2021-06-11

OAAI

Palomares, Ivan; Martinez-Camara, Eugenio; Montes, Rosana; Garcia-Moral, Pablo; Chiachio, Manuel; Chiachio, Juan; Alonso, Sergio; Melero, Francisco J.; Molina, Daniel; Fernandez, Barbara; Moral, Cristina; Marchena, Rosario; de Vargas, Javier Perez; Herrera, Francisco

Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys 订购基于人工智能的建议，以基于调查的决策模型解决sdg

SUSTAINABILITY

IF3.3

2021-05-27

OAAI

Alonso, Sergio; Montes, Rosana; Molina, Daniel; Palomares, Ivan; Martinez-Camara, Eugenio; Chiachio, Manuel; Chiachio, Juan; Melero, Francisco J.; Garcia-Moral, Pablo; Fernandez, Barbara; Moral, Cristina; Marchena, Rosario; Perez de Vargas, Javier; Herrera, Francisco

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

INFORMATION FUSION

IF15.5

2021-03-01

OAAI

Martinez, Aritz D.; Del Ser, Javier; Villar-Rodriguez, Esther; Osaba, Eneko; Poyatos, Javier; Tabik, Siham; Molina, Daniel; Herrera, Francisco

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

APPLIED SOFT COMPUTING

IF6.6

2020-12-01

PREAI

Gomez, Oscar; Ibanez, Oscar; Valsecchi, Andrea; Bermejo, Enrique; Molina, Daniel; Cordon, Oscar

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations 自然和生物启发优化的综合分类: 灵感与算法行为，批判性分析建议

COGNITIVE COMPUTATION

IF4.3

2020-07-05

111

OAAI

Molina, Daniel; Poyatos, Javier; Del Ser, Javier; Garcia, Salvador; Hussain, Amir; Herrera, Francisco

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI 可解释人工智能 (XAI): 负责任人工智能的概念、分类、机遇和挑战

INFORMATION FUSION

IF15.5

2020-06-01

3.9K

OAAI

Barredo Arrieta, Alejandro; Diaz-Rodriguez, Natalia; Del Ser, Javier; Bennetot, Adrien; Tabik, Siham; Barbado, Alberto; Garcia, Salvador; Gil-Lopez, Sergio; Molina, Daniel; Benjamins, Richard; Chatila, Raja; Herrera, Francisco

Bio-inspired computation: Where we stand and what's next 生物启发的计算: 我们的立场和下一步是什么

SWARM AND EVOLUTIONARY COMPUTATION

IF8.5

2019-08-01

438

OAAI

Del Ser, Javier; Osaba, Eneko; Molina, Daniel; Yang, Xin-She; Salcedo-Sanz, Sancho; Camacho, David; Das, Swagatam; Suganthan, Ponnuthurai N.; Coello Coello, Carlos A.; Herrera, Francisco

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions

COGNITIVE COMPUTATION

IF4.3

2018-04-27

PREAI

Molina, Daniel; LaTorre, Antonio; Herrera, Francisco

Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness

SOFT COMPUTING

IF2.5

2017-01-07

PREAI

Garcia-Martinez, Carlos; Gutierrez, Pablo D.; Molina, Daniel; Lozano, Manuel; Herrera, Francisco