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The Scientific World Journal
Volume 2014, Article ID 539128, 23 pages
http://dx.doi.org/10.1155/2014/539128
Research Article

A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an 710071, China

Received 21 October 2013; Accepted 22 December 2013; Published 12 February 2014

Academic Editors: Z. Cui and X. Yang

Copyright © 2014 Jiao Shi 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.

  • Wenjian Luo, and Xin Lin, “Recent advances in clonal selection algorithms and applications,” 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8, . View at Publisher · View at Google Scholar
  • Qiuzhen Lin, Qingling Zhu, Peizhi Huang, Jianyong Chen, Zhong Ming, and Jianping Yu, “A novel hybrid multi-objective immune algorithm with adaptive differential evolution,” Computers & Operations Research, vol. 62, pp. 95–111, 2015. View at Publisher · View at Google Scholar
  • Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, and Fei Chen, “An Adaptive Immune-inspired Multi-objective Algorithm with Multiple Differential Evolution Strategies,” Information Sciences, 2017. View at Publisher · View at Google Scholar
  • Rocío L. Cecchini, Carlos M. Lorenzetti, Ana G. Maguitman, and Ignacio Ponzoni, “Topic Relevance and Diversity in Information Retrieval from Large Datasets: A Multi-Objective Evolutionary Algorithm Approach,” Applied Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Haiping Ma, Shigen Shen, Mei Yu, Zhile Yang, Minrui Fei, and Huiyu Zhou, “Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey,” Swarm and Evolutionary Computation, 2018. View at Publisher · View at Google Scholar