Adaptive random search with intensification and diversification combined with genetic algorithm using automatic switching

Dongkyu Sohn, Kotaro Hirasawa, Takayuki Furuzuki

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

Abstract

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

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages28-34
Number of pages7
Publication statusPublished - 2005
EventSICE Annual Conference 2005 - Okayama
Duration: 2005 Aug 82005 Aug 10

Other

OtherSICE Annual Conference 2005
CityOkayama
Period05/8/805/8/10

Fingerprint

Genetic algorithms

Keywords

  • GA
  • Global minimum
  • Optimization
  • RasID

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Adaptive random search with intensification and diversification combined with genetic algorithm using automatic switching. / Sohn, Dongkyu; Hirasawa, Kotaro; Furuzuki, Takayuki.

Proceedings of the SICE Annual Conference. 2005. p. 28-34.

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 using automatic switching. in Proceedings of the SICE Annual Conference. pp. 28-34, SICE Annual Conference 2005, Okayama, 05/8/8.
Sohn, Dongkyu ; Hirasawa, Kotaro ; Furuzuki, Takayuki. / Adaptive random search with intensification and diversification combined with genetic algorithm using automatic switching. Proceedings of the SICE Annual Conference. 2005. pp. 28-34
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