Self-adapting Chaos-genetic Hybrid Algorithm with Mixed Congruential Method

被引：4

作者：

Chen Bing-rui ^{[1
]}

Feng Xia-ting ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 7, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.116

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An improved swarm intelligence algorithm, named SA-CGA, is introduced briefly in the paper. The algorithm, which is a chaos-genetic hybrid algorithm with a new random number generator using the mixed congruential method, searches goal value using genetic algorithm in global space when population diversity is bigger than given value, while resolves optimal value utilizing chaos algorithm as population diversity decreases to some threshold automatically. The performance of the algorithms is analyzed and compared with other methods. The result shows its convergence precision is high and its convergence velocity is fast.

引用

页码：674 / 677

页数：4

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