Study on a novel hybrid adaptive Genetic Algorithm embedding Conjugate Gradient Algorithm

被引:0
|
作者
Wang, P [1 ]
Fan, Z [1 ]
Feng, S [1 ]
Zhou, Y [1 ]
机构
[1] Huazhong Univ Sci & Technol, Wuhan 430070, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel hybrid adaptive genetic algorithm embedding conjugate gradient algorithm- Conjugate Gradient-Adaptive Evolutionary Algorithm (CG-AGA) that combines the merit of conjugate gradient algorithm is put forward in this paper. Compared with conventional evolutionary algorithm, the new algorithm (CG-AEB) is more efficient in local searching, which is the major weak point of conventional algorithm. Experiments have demonstrated the satisfactory speed and precision of CG-AEA.
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收藏
页码:630 / 633
页数:4
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