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JACIII
2007

Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms

11 years 6 months ago
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms
In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in particular, the effect of adapting the migration rates on the performance and solution quality of MGAs. Thereby, we propose an adaptive scheme to evolve the appropriate migration rates for MGAs. If the individuals from a neighboring sub-population can greatly improve the solution quality of a current population, then the migration from the neighbor has a positive effect. In this case, the migration rate from the neighbor should be increased; otherwise, it should be decreased. According to the principle, an adaptive multi-population genetic algorithm which can adjust the migration rates is proposed. Experiments on the 0/1 knapsack problem are conducted to show the effectiveness of our approach. The results of our work have illustrated the effectiveness of self-adaptation for MGAs and paved the way for this unexplored area.
Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-H
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JACIII
Authors Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin
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