Adaptive random search with intensification and diversification combined with genetic algorithm

Dong Kyu Sohn, Kotaro Hirasawa, Jinglu Hu

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

A novel optimization method named RasID-GA (an abbreviation of Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm) is proposed in order to enhance the searching ability of conventional RasID, which is a kind of Random Search with Intensification and Diversification. RasID-GA is compared with conventional RasID and GA using 23 different objective functions, and it turns out that RasID-GA performs well compared with other methods.

本文言語English
ホスト出版物のタイトル2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
ページ1462-1469
ページ数8
出版ステータスPublished - 2005 10 31
イベント2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
継続期間: 2005 9 22005 9 5

出版物シリーズ

名前2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
2

Conference

Conference2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
CountryUnited Kingdom
CityEdinburgh, Scotland
Period05/9/205/9/5

ASJC Scopus subject areas

  • Engineering(all)

フィンガープリント 「Adaptive random search with intensification and diversification combined with genetic algorithm」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル