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The Scientific World Journal
Volume 2015, Article ID 185860, 12 pages
http://dx.doi.org/10.1155/2015/185860
Research Article

Kernel Method Based Human Model for Enhancing Interactive Evolutionary Optimization

The University of Aizu, Tsuruga, Ikki-machi, Aizuwakamatsu, Fukushima 965-8580, Japan

Received 16 April 2014; Revised 2 September 2014; Accepted 20 October 2014

Academic Editor: Ahmad T. Azar

Copyright © 2015 Yan Pei 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 [4 citations]

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

  • Xiaoyan Sun, Yang Chen, Lin Bao, and Ruidong Xu, “Interactive genetic algorithm with implicit uncertainty evaluation for application in personalized search,” 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8, . View at Publisher · View at Google Scholar
  • Yan Pei, and Hideyuki Takagi, “Local information of fitness landscape obtained by paired comparison-based memetic search for interactive differential evolution,” 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 2215–2221, 2015. View at Publisher · View at Google Scholar
  • Jia Hao, Qiangfu Zhao, Yan Yan, and Guoxin Wang, “A Review of Tacit Knowledge: Current Situation and the Direction to Go,” International Journal of Software Engineering and Knowledge Engineering, vol. 27, no. 05, pp. 727–748, 2017. View at Publisher · View at Google Scholar
  • Yan Pei, and Hideyuki Takagi, “Local fitness landscape from paired comparison-based memetic search in interactive differential evolution and differential evolution,” International Journal of Ad Hoc and Ubiquitous Computing, vol. 25, no. 1-2, pp. 17–30, 2017. View at Publisher · View at Google Scholar