Swarm Intelligence Optimization Algorithms and Their Application

被引：0
|
作者：
Yu, Ting [1 ]
Wang, Limin [1 ]
Han, Xuming [2 ]
Liu, Ying [1 ]
Zhang, Li [1 ]
机构：
[1] Jilin Univ Finance & Econ, Sch Management Sci & Informat Engn, Changchun 130117, Peoples R China
[2] Changchun Univ Technol, Inst Software, Changchun 130117, Peoples R China
来源：
FOURTEENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS | 2015年
关键词：
Swarm intelligence algorithm; Ant Colony Algorithm; Particle swarm optimization; Drosophila algorithm; Firefly algorithm;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Swarm intelligence optimization algorithm is an emerging technology tosimulate the evolution of the law of nature and acts of biological communities, it has simple and robust characteristics. The algorithm has been successfully applied in many fields. This paper summarizes the research status of swarm intelligence optimization algorithm and application progress. Elaborate the basic principle of ant colony algorithm and particle swarm algorithm. Carry out a detailed analysis of drosophila algorithm and firefly algorithm developed in recent years, and put forward deficiencies of each algorithm and direction for improvement.
引用
收藏
页码：201 / 206
页数：6
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