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Papers published in Journals (D. Molina)

Number of Results: 33

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2021 (5)

  • [2895] E. Osaba, E. Villar-Rodriguez, J. Del Ser, A. J. Nebro, D. Molina, A. La Torre, P.N. Suganthan, C.A. Coello, F. Herrera. A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. Swarm and Evolutionary Computation.64 (2021), 100888. doi: 10.1016/j.swevo.2021.100888 PDF Icon BibTex Icon
  • [2853] A. D. Martinez, J. del Ser, E. Villa-Rodriguez, E. Osaka, J. Poyatos, S. Tabik, D. Molina, F. Herrera. Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons,Recommendations and Challenges. Information Fusion 67 (2021) 161-194. doi: 10.1016/j.inffus.2020.10.014 PDF Icon BibTex Icon
  • [2899] S. Alonso, R. Montes, D. Molina, I. Palomares, E. Martínez-Cámara, M. Chiachio, J. Chiachio, F.J. Melero, P. García-Moral, B. Fernández, C. Moral, R. Marchena, J. Pérez de Vargas, F. Herrera. Article Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability 2021, 13(11), 6038. doi: 10.3390/su13116038 PDF Icon BibTex Icon
  • [2906] I. Palomares, E. Martínez-Cámara, R. Montes, P. García-Moral, M. Chiachio, J. Chiachio, S. Alonso, F.J. Melero, D. Molina, B. Fernández, C. Moral, R. Marchena, J.P. de Vargas, F. Herrera. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Applied Intelligence, (2021) 1-31. doi: 10.1007/s10489-021-02264-y PDF Icon BibTex Icon
  • [2920] A. LaTorre, D. Molina, E. Osaba, J. Poyatos, J. Del Ser, F. Herrera. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm and Evolutionary Computation, 67 (2021) 100973. doi: 10.1016/j.swevo.2021.100973 BibTex Icon


2020 (3)


2019 (2)

  • [2690] J. Del Ser, E. Osaba, D. Molina, Xin-She Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P. N.Suganthan, C. A.Coello, F. Herrera. Bio-inspired computation: Where we stand and what's next. Swarm and Evolutionary Computation 48 (2019) 220-250. doi: 10.1016/j.swevo.2019.04.008 PDF Icon BibTex Icon
  • [2691] M. Leon, N. Xiong, D. Molina, F. Herrera. A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. International Journal of Computational Intelligence Systems 12:2 (2019) 795-808. doi: 10.2991/ijcis.d.190711.001 PDF Icon BibTex Icon


2018 (1)

  • [2463] D. Molina, A. LaTorre, F. Herrera. An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cognitive Computation (2018) 10:4, 517-544. doi: 10.1007/s12559-018-9554-0 PDF Icon BibTex Icon


2017 (1)


2016 (2)


2015 (3)


2014 (2)


2012 (3)

  • [1414] J. Marín, D. Molina, F. Herrera. Modeling Dynamics of a Real-coded CHC Algorithm in Terms of Dynamical Probability Distributions. Soft Computing 16:2 (2012) 331-351. doi: 10.1007/s00500-011-0745-9 PDF Icon
  • [1433] Amilkar Puris, Rafael Bello, D. Molina, F. Herrera. Variable mesh optimization for continuous optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications (2012), 16(3), 511-525. doi: 10.1007/s00500-011-0753-9 PDF Icon
  • [1550] C. Bergmeir, I. Triguero, D. Molina, J.L. Aznarte M., J.M. Benítez. Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-switching Models. IEEE Transactions on Neural Networks and Learning Systems (2012), volume 23, issue 11, pages 1841-1847. doi: 10.1109/TNNLS.2012.2216898 PDF Icon


2011 (5)


2010 (1)


2009 (1)


2008 (2)


2006 (1)


2004 (1)