2014•Unpublished venueRequires access

Chaos genetic algorithm optimization design based on linear motor

Hongkui Yan, Zongshu Lv, Yangyang Zhao, Guangzhou Qiao, Linyuan Xiao, Zhou Yang, Kexuan Gao, Shutan Gao

Abstract

A new method of genetic chaos optimization combination is proposed after analyzing the advantages and disadvantages of genetic algorithm and chaos optimization method. The chaos optimization algorithm can overcome shortcomings of failure in a wide range and improve the local searching ability and accuracy of genetic algorithm, which proves that the algorithm can converge to the global optimum with a large probability. The satisfying results are obtained by applying the method for optimizing the test function.

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Available abstract

Key concepts: CHAOS (operating system), Meta-optimization, Genetic algorithm, Computer science, Algorithm, Test functions for optimization, Range (aeronautics), Mathematical optimization