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

Dongkyu Sohn, Kotaro Hirasawa, Jinglu Hu

Research output: Contribution to conference › Paper › peer-review

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
Pages28-34
Number of pages7
Publication statusPublished - 2005 Dec 1
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: 2005 Aug 8 → 2005 Aug 10

Conference

ConferenceSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/8 → 05/8/10

Keywords

  • GA
  • Global minimum
  • Optimization
  • RasID

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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