A hybrid swarm intelligent method based on genetic algorithm and artificial bee colony

Authors:
Haiyan Zhao;Zhili Pei;Jingqing Jiang;Renchu Guan;Chaoyong Wang;Xiaohu Shi
Affiliations:
College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia;,College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia;College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia;College of Computer Science and Technology, Jilin University, Jilin, Changchun;School of applied science, Jilin Teachers‘ Institute of Engineering and Technology, Jilin, Changchun;,College of Computer Science and Technology, Jilin University, Jilin, Changchun
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2010

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Abstract

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 information 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.