The Study and Application of Improved Micro-Genetic Algorithm Based on Cauchy Mutation

Man Hua Chen

doi:10.4028/www.scientific.net/AMM.538.508

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538The Study and Application of Improved...

The Study and Application of Improved Micro-Genetic Algorithm Based on Cauchy Mutation

Abstract:

Genetic algorithm is the intelligent optimization design method, but its calculation workload is great and its convergence is slowly. This paper presents an improved micro-genetic algorithm (referred to as μGA-BLX) to overcome the shortcomings. The μGA-BLX algorithm uses the BLX-α operator to enhance the search ability of the algorithm in crossover; the mutation introduced on the Cauchy mutation operator to enhance the population's variety and the explore ability of algorithm. It shows the validity of the algorithm through the planet gear transmission optimization results.

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Periodical:

Applied Mechanics and Materials (Volume 538)

Pages:

508-511

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.538.508

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Online since:

April 2014

Authors:

Man Hua Chen*

Keywords:

Cauchy Mutation, Crossover, Micro-Genetic Algorithm, Optimal Design

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* - Corresponding Author

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