An Improved Genetic Algorithm Based on Triangulation

被引：0
|
作者：
Liu, Guangyuan [1 ]
Li, Xuedong [1 ]
Wang, Shuxin [1 ]
Ma, Yongqiang [1 ]
机构：
[1] Hebei Univ Engn, Sci Res Off Org, Handan 056038, Hebei, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年
关键词：
genetic algorithm; fixed point; tiangulation; optimal;
D O I：
10.1109/ICICISYS.2009.5357804
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 genetic algorithm based on the hJI triangulation is proposed for optimization of dual multimodal function With this algorithm, the optimal problems converse to solution of fixed point problems The minimum points can be distinguished by using the Hessian Matrix The test results of many typical functions indicated that the algorithm is valid and highly effective
引用
收藏
页码：447 / 451
页数：5
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