Paper:
Language: English:

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

Keywords: optimization, RasID, GA, switching

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.6 pp. 921-930, 2006

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.

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