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A two-level subspace evolutionary algorithm for solving Multi-Modal function optimization problems
  • 期刊名称：Wuhan University of Natural Sciences, Vol.8, No.1B
  • 时间：0
  • 作者或编辑：3448
  • 页码：249-252
  • 语言：英文
  • 分类：O224[理学—运筹学与控制论;理学—数学]
  • 相关基金：Supported by the National Natural Science Foundation of China (70071042,60073043,60133010)
  • 相关项目：进化计算理论、方法及其应用
作者： Li Yan|Kang Zhuo|
关键词： MULTI-MODAL, function, SUBSPACE, SEARCH, EVOLUTIONARY, algorithm
中文摘要：

In this paper, a new algorithm for solving multi-modal function optimization problems-two-level subspace evolutionary algorithm is proposed. In the first level, the improved GT algorithm is used to do global recombination search so that the whole population can be separated into several niches according to the position of solutions; then, in the second level, the niche evolutionary strategy is used for local search in the subspaces gotten in the first level till solutions of the problem are found. The new algorithm has been tested on some hard problems and some good results are obtained.

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