A gradient-guided niching method in genetic algorithm for solving continuous optimisation problems

被引：0
|
作者：
Peng, JX [1 ]
Thompson, S [1 ]
Li, K [1 ]
机构：
[1] Queens Univ Belfast, Sch Mech & Mfg Engn, Belfast BT9 5AH, Antrim, North Ireland
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
hybrid genetic algorithm; gradient search; multimodal optimisation;
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 hybrid genetic algorithm, which embeds a gradient-based local search route into a niching genetic algorithm, is proposed for solving continuous optimisation problems. The optimisation algorithm is applied to three nonlinear functions each having up to 100 variables and multi-minima. The test results show that relative to a standard niching algorithm the combination of a gradient-based search and niching improves the searching precision by several orders and the capability for locating the global optimum is significantly improved.
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页码：3333 / 3338
页数：6
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