Open Access
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
Article Number 04013
Number of page(s) 9
Section Adaptive Intelligence: Exploring Learning in Evolutionary Algorithms and Neural Networks
Published online 25 January 2024
  1. D. Javier et al., Swarm and Evolutionary Computation, 48 (2019) [Google Scholar]
  2. D. Molina, A. LaTorre, F. Herrera, Cognitive Computation 8, (2018) [Google Scholar]
  3. K. Sastry, D. Goldberg, G. Kendall, Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques (Springer, 2nd ed., 2005) [Google Scholar]
  4. R. Storn, K. Price, Journal of Global Optimization 11, (1997) [Google Scholar]
  5. A. Vakhnin, E. Sopov, Algorithms 14, 146, (2021) [Google Scholar]
  6. J. Kennedy, R. Eberhart, Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Networks. IV (1995) [Google Scholar]
  7. L. Szymon, A. Kowalski, Fully Informed Swarm Optimization Algorithms: Basic Concepts, Variants and Experimental evaluations, Proceedings of the 2014 Federated Conference on Computer Science and Information Systems (2014) [Google Scholar]
  8. E. Sopov, Computational Intelligence. IJCCI 2015. Studies in Computational Intelligence 669, (2017) [Google Scholar]
  9. J. Niehaus, J. Banzhaf, Lecture Notes in Computer Science 325, 36, (2001) [Google Scholar]

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