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

Dongkyu Sohn; Kotaro Hirasawa; Jinglu Hu

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

Dongkyu Sohn^*, Kotaro Hirasawa, Jinglu Hu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

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 language	English
Pages	28-34
Number of pages	7
Publication status	Published - 2005 Dec 1
Event	SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10

Conference

Conference	SICE Annual Conference 2005
Country/Territory	Japan
City	Okayama
Period	05/8/8 → 05/8/10

Keywords

GA
Global minimum
Optimization
RasID

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Cite this

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title = "Adaptive random search with intensification and diversification combined with genetic algorithm using automatic switching",

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.",

keywords = "GA, Global minimum, Optimization, RasID",

author = "Dongkyu Sohn and Kotaro Hirasawa and Jinglu Hu",

year = "2005",

month = dec,

day = "1",

language = "English",

pages = "28--34",

note = "SICE Annual Conference 2005 ; Conference date: 08-08-2005 Through 10-08-2005",

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T1 - Adaptive random search with intensification and diversification combined with genetic algorithm using automatic switching

AU - Sohn, Dongkyu

AU - Hirasawa, Kotaro

AU - Hu, Jinglu

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

KW - GA

KW - Global minimum

KW - Optimization

KW - RasID

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UR - http://www.scopus.com/inward/citedby.url?scp=33645317583&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:33645317583

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T2 - SICE Annual Conference 2005

Y2 - 8 August 2005 through 10 August 2005

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this