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
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
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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页码：630 / 633
页数：4
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