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12

GECCO
2004
Springer

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126views Optimization» more GECCO 2004»

A Gene Based Adaptive Mutation Strategy for Genetic Algorithms

13 years 10 months ago

A Gene Based Adaptive Mutation Strategy for Genetic Algorithms

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In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests using the one-max problem, it is shown that the proposed scheme improves convergence rate. Further tests are performed using the 4-Peaks and multiple knapsack test problems to compare the performance of the proposed approach with other similar parameter control approaches. A convergence control scheme that provides acceptable performance is chosen to maintain sufficient diversity in the population and implemented for all tested methods to provide fair comparisons. The effects of using a convergence control mechanism are not within the scope of this paper and will be explored in a future study. As a result of the tests, promising results which promote further experimentation are obtained.

Sima Uyar, Sanem Sariel, Gülsen Eryigit

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Added	01 Jul 2010
Updated	01 Jul 2010
Type	Conference
Year	2004
Where	GECCO
Authors	Sima Uyar, Sanem Sariel, Gülsen Eryigit

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