An improved genetic algorithm with initial population strategy and self-adaptive member grouping

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Summary

Two new self-adaptive member grouping strategies, and a new strategy to set the initial population are discussed and the effect of the proposed strategies on the performance of the GA for capturing the global optimum is tested on the optimization of 2d and 3d truss structures.

Type
article
Published
2008-06-01
Cited by
244
References
39

Keywords

Crossover, Mathematical optimization, Population, Genetic algorithm, Truss

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