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JACIII Vol.10 No.6 pp. 921-930
doi: 10.20965/jaciii.2006.p0921
(2006)

Paper:

Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm

Dongkyu Sohn, Hiroyuki Hatakeyama, Shingo Mabu,
Kotaro Hirasawa, and Jinglu Hu

Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka 808-0135, Japan

Received:
October 18, 2005
Accepted:
April 1, 2006
Published:
November 20, 2006
Keywords:
optimization, RasID, GA, switching
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. In this paper, the timing of switching from RasID to GA, or from GA to RasID is also studied. RasID-GA is compared with parallel RasIDs and GA using 23 different objective functions, and it turns out that RasID-GA performs well compared with other methods.

Cite this article as:
Dongkyu Sohn, Hiroyuki Hatakeyama, Shingo Mabu,
Kotaro Hirasawa, and Jinglu Hu, “Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.6, pp. 921-930, 2006.
Data files:
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