Towards the Harmonious Mating for Genetic Algorithms

Abstract:

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Genetic algorithms (GAs) have achieved lots of success in various applications, but the problem to balance exploration and exploitation of population is still up in the air. In this paper, we propose a variant of genetic algorithm with mating operator GASF to alleviate the problem; GASF measures the mating attractiveness of individuals from four aspects: gender, age, similarity and fitness. Individuals are assigned gender to facilitate mimicking human reproduction, and contributions of age, similarity and fitness to the attractiveness are respectively quantified and self-adaptively adjusted. Experimental results indicate that the proposed approach can achieve competitive performance with improved convergence.

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Edited by:

Jingying Zhao

Pages:

2013-2017

DOI:

10.4028/www.scientific.net/AMR.255-260.2013

Citation:

F. L. Huang "Towards the Harmonious Mating for Genetic Algorithms", Advanced Materials Research, Vols. 255-260, pp. 2013-2017, 2011

Online since:

May 2011

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$35.00

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