Adaptive random search with intensification and diversification combined with genetic algorithm

DongKyu Sohn, Kotaro Hirasawa, Takayuki Furuzuki

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

7 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
Volume2
Publication statusPublished - 2005
Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland
Duration: 2005 Sep 22005 Sep 5

Other

Other2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
CityEdinburgh, Scotland
Period05/9/205/9/5

Fingerprint

Genetic algorithms

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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

Adaptive random search with intensification and diversification combined with genetic algorithm. / Sohn, DongKyu; Hirasawa, Kotaro; Furuzuki, Takayuki.

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings. Vol. 2 2005. p. 1462-1469.

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

Sohn, D, Hirasawa, K & Furuzuki, T 2005, Adaptive random search with intensification and diversification combined with genetic algorithm. in 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings. vol. 2, pp. 1462-1469, 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005, Edinburgh, Scotland, 05/9/2.
Sohn D, Hirasawa K, Furuzuki T. Adaptive random search with intensification and diversification combined with genetic algorithm. In 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings. Vol. 2. 2005. p. 1462-1469
Sohn, DongKyu ; Hirasawa, Kotaro ; Furuzuki, Takayuki. / Adaptive random search with intensification and diversification combined with genetic algorithm. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings. Vol. 2 2005. pp. 1462-1469
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