A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony

被引：0

作者：

Zhao, Haiyan ^{[2
]}

Pei, Zhili ^{[2
,3
]}

Jiang, Jingqing ^{[2
]}

Guan, Renchu ^{[1
]}

Wang, Chaoyong ^{[4
]}

Shi, Xiaohu ^{[1
,5
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

[2] Inner Mongolia Univ Natl, Coll Comp Sci Technol, Tongliao 028043, Peoples R China

[3] Jilin Univ, Math Sch Inst, Changchun 130012, Peoples R China

[4] Jilin Teachers Inst Engn Technol, Sch Appl Sci, Changchun 130052, Peoples R China

[5] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Peoples R China

来源：

ADVANCES IN SWARM INTELLIGENCE, PT 1, PROCEEDINGS | 2010年 / 6145卷

基金：

中国国家自然科学基金;

关键词：

Swami intelligence; artificial bee colony; genetic algorithm; optimization problem; OPTIMIZATION ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

By integrating artificial bee colony and genetic algorithm, a novel hybrid swarm intelligent approach is proposed in this paper The main idea of the approach is to obtain the parallel computation merit of GA and the speed and self-improvement merits of ABC by sharing in between GA population and bee colony To exam the proposed method, it is applied to 4 benchmark functions for different dimensions For comparison, simple GA and ABC methods are also executed Numerical results show that the proposed hybrid swarm intelligent method is effective, and the precision could be improved

引用

页码：558 / +

页数：2

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