Adaptive random search with intensification and diversification combined with genetic algorithm

Dong Kyu Sohn, Kotaro Hirasawa, Jinglu Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Pages1462-1469
Number of pages8
Publication statusPublished - 2005 Oct 31
Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
Duration: 2005 Sep 22005 Sep 5

Publication series

Name2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
Volume2

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)

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  • Cite this

    Sohn, D. K., Hirasawa, K., & Hu, J. (2005). Adaptive random search with intensification and diversification combined with genetic algorithm. In 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings (pp. 1462-1469). (2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings; Vol. 2).