Implementation of ant colony algorithm based-on multi-agent system

被引：0

作者：

He, JM ^{[1
]}

Min, R

Wang, YY

机构：

[1] PLA Univ Sci & Tech, Inst Command Automat, Nanjing 210007, Peoples R China

[2] PLA Univ Sci & Tech, Inst Sci, Nanjing 211101, Peoples R China

来源：

NETWORKING AND MOBILE COMPUTING, PROCEEDINGS | 2005年 / 3619卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ant colony algorithm (ACA) is a simulated evolutionary algorithm which was developed in recent years. ACA has attracted many researchers' attentions for the solving of combinatorial optimization problems. Agent-based simulation CABS) is one of novel methods for the analysis of complex system. This paper introduces the basic principles of ACA and its method of design and implement in a multi-agent system (MAS). Computer simulation results of MAS based on ACA are introduced and discussed in this thesis. The results show that the reasonable combination of ACA and the simple local rules of agent can effectively improve the colony behaviors of agents.

引用

页码：1234 / 1242

页数：9

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