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http://bura.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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