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Media type:
E-Article
Title:
An Improved Differential Evolution Algorithm Based on Adaptive Parameter
Contributor:
Huang, Zhehuang;
Chen, Yidong
Published:
Hindawi Limited, 2013
Published in:
Journal of Control Science and Engineering, 2013 (2013), Seite 1-5
Language:
English
DOI:
10.1155/2013/462706
ISSN:
1687-5249;
1687-5257
Origination:
Footnote:
Description:
The differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast. The evolutionary parameters directly influence the performance of differential evolution algorithm. The adjustment of control parameters is a global behavior and has no general research theory to control the parameters in the evolution process at present. In this paper, we propose an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution stage. The experiments on high dimensional function optimization showed that the improved algorithm has more powerful global exploration ability and faster convergence speed.