Modified self-adaptive strategy for controlling parameters in differential evolution

研究成果: Conference contribution

抄録

In this paper, we propose a new technical to modify the self-adaptive Strategy for Controlling Parameters in Differential Evolution algorithm (MSADE). The DE algorithm has been used in many practical cases and has demonstrated good convergence properties. It has only a few control parameters as NP (Number of Particles), F (scaling factor) and CR (crossover), which are kept fixed throughout the entire evolutionary process. However, these control parameters are very sensitive to the setting of the control parameters based on their experiments. The value of control parameters depend on the characteristics of each objective function, so we have to tune their value in each problem that mean it will take too long time to perform. We present a new version of the DE algorithm for obtaining self-adaptive control parameter settings that show good performance on numerical benchmark problems.

本文言語English
ホスト出版物のタイトルAsiaSim 2012 - Asia Simulation Conference 2012, Proceedings
ページ370-378
ページ数9
PART 2
DOI
出版ステータスPublished - 2012 11 7
イベントAsia Simulation Conference, AsiaSim 2012 - Shanghai, China
継続期間: 2012 10 272012 10 30

出版物シリーズ

名前Communications in Computer and Information Science
番号PART 2
324 CCIS
ISSN(印刷版)1865-0929

Conference

ConferenceAsia Simulation Conference, AsiaSim 2012
CountryChina
CityShanghai
Period12/10/2712/10/30

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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