A niching two-layered differential evolution with self-adaptive control parameters

Yongxin Luo, Sheng Huang, Jinglu Hu

研究成果: Conference contribution

抄録

Differential evolution (DE) is an effective and efficient evolutionary algorithm in continuous space. The setting of control parameters is highly relevant with the convergence efficiency, and varies with different optimization problems even at different stages of evolution. Self-adapting control parameters for finding global optima is a long-term target in evolutionary field. This paper proposes a two-layered DE (TLDE) with self-adaptive control parameters combined with niching method based mutation strategy. The TLDE consists of two DE layers: A bottom DE layer for the basic evolution procedure, and a top DE layer for control parameter adaptation. Both layers follow the procedure of DE. Moreover, to mitigate the common phenomenon of premature convergence in DE, a clearing niching method is brought out in finding efficient mutation individuals to maintain diversity during the evolution and stabilize the evolution system. The performance is validated by a comprehensive set of twenty benchmark functions in parameter optimization and competitive results are presented.

本文言語English
ホスト出版物のタイトルProceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1405-1412
ページ数8
ISBN(電子版)9781479914883
DOI
出版ステータスPublished - 2014 9 16
イベント2014 IEEE Congress on Evolutionary Computation, CEC 2014 - Beijing, China
継続期間: 2014 7 62014 7 11

出版物シリーズ

名前Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

Conference

Conference2014 IEEE Congress on Evolutionary Computation, CEC 2014
CountryChina
CityBeijing
Period14/7/614/7/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

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