Paper Title:
Niche Differential Evolution Algorithm and its Application in Multimodal Function Optimization
  Abstract

In multimodal optimization, the original differential evolution algorithm is easy to duplicate and miss points of the optimal value. To solve this problem, a modified differential evolution algorithm, called niche differential evolution (NDE), is proposed. In the algorithm, the basic differential evolution algorithm is improved based on the niche technology. The rationality to construct the proposed algorithm is discussed. Shubert function, a representative multimodal optimization problem is used to verify the algorithm. The results show that the proposed algorithm can find all global optimum points quickly without strict request for parameters, so it is a good approach to find all global optimum points for multimodal functions.

  Info
Periodical
Advanced Materials Research (Volumes 308-310)
Chapter
Other Related Topics
Edited by
Jian Gao
Pages
2431-2435
DOI
10.4028/www.scientific.net/AMR.308-310.2431
Citation
N. Li, Y. X. Li, Z. G. Huang, Y. Wang, "Niche Differential Evolution Algorithm and its Application in Multimodal Function Optimization", Advanced Materials Research, Vols. 308-310, pp. 2431-2435, 2011
Online since
August 2011
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$32.00
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