A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map

被引：13

作者：

He, Yaoyao ^{[1
]}

Zhou, Jianzhong ^{[1
]}

Li, Chaoshun ^{[1
]}

Yang, Junjie ^{[1
]}

Li, Qingqing ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, 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.2008.588

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The target of this paper is to enhance the precision of existent chaotic particle swarm optimization algorithm in the nonlinear optimizations problems. For this aim,a one-dimensional chaotic search pattern using improved tent map is introduced. This new pattern can also be combined with particle swarm optimization algorithm The novel hybrid algorithm is validated for several test functions and the experimental results demonstrate its efficiency and precision to obtain global optimal solution.

引用

页码：569 / 573

页数：5

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