Improved method of Hybrid Genetic Algorithm

被引：2
|
作者：
Ding Lei [1 ]
Luo Yong-Jun [1 ]
Wang Yang-yang [1 ]
Li Zheng [1 ]
Yao Bing-yin [1 ]
机构：
[1] Guangdong Univ Technol, Sch Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
来源：
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷
关键词：
Genetic algorithm; Hybrid genetic algorithm; Conjugate gradient method;
D O I：
10.4028/www.scientific.net/AMM.556-562.4014
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
On account of low convergence of the traditional genetic algorithm in the late, a hybrid genetic algorithm based on conjugate gradient method and genetic algorithm is proposed. This hybrid algorithm takes advantage of Conjugate Gradient's certainty, but also the use of genetic algorithms in order to avoid falling into local optimum, so it can quickly converge to the exact global optimal solution. Using Two test functions for testing, shows that performance of this hybrid genetic algorithm is better than single conjugate gradient method and genetic algorithm and have achieved good results.
引用
收藏
页码：4014 / 4017
页数：4
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