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
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;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7013870
