DocumentCode
230024
Title
Chaos genetic algorithm optimization design based on linear motor
Author
Hongkui Yan ; Zongshu Lv ; Yangyang Zhao ; Guangzhou Qiao ; Linyuan Xiao ; Zhou Yang ; Kexuan Gao ; Shutan Gao
Author_Institution
Coll. of Autom., Shenyang Inst. of Eng., Shenyang, China
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
2265
Lastpage
2268
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.
Keywords
chaos; genetic algorithms; linear motors; chaos genetic algorithm optimization design; genetic algorithm accuracy; genetic chaos optimization combination; linear motor; local searching ability; probability; test function optimization; Accuracy; Chaos; Genetic algorithms; Genetics; Optimization; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/ICEMS.2014.7013870
Filename
7013870
Link To Document