Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/5849
Title: Adaptive mutation with fitness and allele distribution correlation for genetic algorithms
Authors: Yang, S
Uyar, S
Keywords: Genetic algorithms;Gene based adaptive mutation;Fitness and allele distribution correlation
Issue Date: 2006
Publisher: ACM
Citation: The 21st ACM Symposium on Applied Computing (SAC'06), Dijon, France: 940 - 944, 23-27 Apr 2006
Abstract: In this paper, a new gene based adaptive mutation scheme is proposed for genetic algorithms (GAs), where the information on gene based fitness statistics and on gene based allele distribution statistics are correlated to explicitly adapt the mutation probability for each gene locus over time. A convergence control mechanism is combined with the proposed mutation scheme to maintain sufficient diversity in the population. Experiments are carried out to compare the proposed mutation scheme to traditional mutation and two advanced adaptive mutation schemes on a set of optimization problems. The experimental results show that the proposed mutation scheme e ciently improves GA's performance.
Description: Copyright @ 2006 ACM
URI: http://bura.brunel.ac.uk/handle/2438/5849
DOI: http://dx.doi.org/10.1007/11732242_76
ISBN: 1-59593-108-2
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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