Adaptive Plan system using Differential Evolution with Genetic Algorithm

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

This paper describes a new proposed strategy of Adaptive Plan System using Differential Evolution (DE) with Genetic Algorithm (GA) called APGA/DE to solve large scale optimization problems, to reduce a large amount of calculation cost, and to improve stability in convergence to an optimal solution. This is an approach that combines the global search ability of GA and Adaptive Plan (AP) for local search ability. The proposed strategy incorporates new concept of AP using DE for Adaptive System (AS) with GA. The APGA/DE is applied to several benchmark functions with multi-dimensions to evaluate its performance. It is shown to be statistically significantly superior to other Evolutionary Algorithms (EAs), and Memetic Algorithms (MAs). We confirmed satisfactory performance through various benchmark tests.

元の言語English
ホスト出版物のタイトルProceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
ページ40-45
ページ数6
DOI
出版物ステータスPublished - 2013 5 15
イベント2013 IEEE International Conference on Industrial Technology, ICIT 2013 - Cape Town, South Africa
継続期間: 2013 2 252013 2 28

出版物シリーズ

名前Proceedings of the IEEE International Conference on Industrial Technology

Conference

Conference2013 IEEE International Conference on Industrial Technology, ICIT 2013
South Africa
Cape Town
期間13/2/2513/2/28

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • これを引用

    Pham, H., Bui, T., & Hasegawa, H. (2013). Adaptive Plan system using Differential Evolution with Genetic Algorithm. : Proceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013 (pp. 40-45). [6505645] (Proceedings of the IEEE International Conference on Industrial Technology). https://doi.org/10.1109/ICIT.2013.6505645