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Applied Computational Intelligence and Soft Computing
Volume 2012, Article ID 682372, 11 pages
http://dx.doi.org/10.1155/2012/682372
Research Article

An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism

Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China

Received 26 December 2011; Accepted 11 June 2012

Academic Editor: Christian W. Dawson

Copyright © 2012 Yufang Qin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Yuzhen Zhang, Guangming Dai, Lei Peng, and Maocai Wang, “HMOEDA_LLE: A hybrid multi-objective estimation of distribution algorithm combining locally linear embedding,” 2014 IEEE Congress on Evolutionary Computation (CEC), pp. 707–714, . View at Publisher · View at Google Scholar
  • Hardik H. Maheta, and Vipul K. Dabhi, “An improved SPEA2 Multi objective algorithm with non dominated elitism and Generational Crossover,” 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), pp. 75–82, . View at Publisher · View at Google Scholar
  • E. J. Solteiro Pires, J. A. Tenreiro Machado, and P. B. de Moura Oliveira, “Diversity study of multi-objective genetic algorithm based on Shannon entropy,” 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014), pp. 17–22, . View at Publisher · View at Google Scholar
  • Han-Yu Xie, Qiang Yang, Xiao-Min Hu, and Wei-Neng Chen, “Cross-generation Elites Guided Particle Swarm Optimization for large scale optimization,” 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8, . View at Publisher · View at Google Scholar
  • Eduardo Pires, José Machado, and Paulo de Moura Oliveira, “Entropy Diversity in Multi-Objective Particle Swarm Optimization,” Entropy, vol. 15, no. 12, pp. 5475–5491, 2013. View at Publisher · View at Google Scholar