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Mathematical Problems in Engineering
Volume 2013, Article ID 749256, 11 pages
http://dx.doi.org/10.1155/2013/749256
Research Article

Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems

1Complex Systems Research Center, East China University of Science and Technology, Shanghai 200237, China
2Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada S7N 5A9
3Department of Systems Innovation, the University of Tokyo, Tokyo 113-8656, Japan
4Institute of Systems Engineering, Northeastern University, Shenyang 110114, China
5Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong

Received 12 February 2013; Accepted 10 March 2013

Academic Editor: Zhuming Bi

Copyright © 2013 J. W. Wang 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 [8 citations]

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

  • F. Musharavati, and A. M. S. Hamouda, “Multiple parts process planning in serial-parallel flexible flow lines: part I—process plan modeling framework,” The International Journal of Advanced Manufacturing Technology, vol. 78, no. 1-4, pp. 115–137, 2014. View at Publisher · View at Google Scholar
  • Hongfeng Wang, Yaping Fu, Min Huang, and Junwei Wang, “Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs,” Enterprise Information Systems, pp. 1–18, 2015. View at Publisher · View at Google Scholar
  • Stephane R. A. Barde, Soumaya Yacout, and Hayong Shin, “Optimal preventive maintenance policy based on reinforcement learning of a fleet of military trucks,” Journal of Intelligent Manufacturing, 2016. View at Publisher · View at Google Scholar
  • Hongfeng Wang, Yaping Fu, Min Huang, George Huang, and Junwei Wang, “A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems,” Soft Computing, 2016. View at Publisher · View at Google Scholar
  • Yaoming Zhou, Haocai Huang, Jinliang Ding, Hongfeng Wang, Ying Chen, and Junwei Wang, “Modeling Chlorophyll $a$ ]]> Concentration Affected by Artificial Upwelling in Qiandao Lake,” IEEE Journal of Oceanic Engineering, vol. 41, no. 4, pp. 960–969, 2016. View at Publisher · View at Google Scholar
  • Wenchao Yi, Yinzhi Zhou, Liang Gao, Xinyu Li, and Chunjiang Zhang, “Engineering design optimization using an improved local search based epsilon differential evolution algorithm,” Journal of Intelligent Manufacturing, 2016. View at Publisher · View at Google Scholar
  • Jian Chen, Meilin Wang, Xiang T. R. Kong, George Q. Huang, Qinyun Dai, and Guoqiang Shi, “Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals,” Journal of Intelligent Manufacturing, 2017. View at Publisher · View at Google Scholar
  • J. W. Wang, H. F. Wang, Y. M. Zhou, Y. Wang, and W. J. Zhang, “On an integrated approach to resilient transportation systems in emergency situations,” Natural Computing, 2017. View at Publisher · View at Google Scholar