ANT COLONY OPTIMIZATION IN MULTI-AGENT SYSTEMS WITH NETLOGO

被引：1

作者：

Tuker, Mustafa ^{[1
]}

Balli, Serkan ^{[2
]}

Pembeci, Izzet ^{[3
]}

机构：

[1] Mugla Sitki Kocman Univ, Elek Bilgisayar Egitimi Bolumu, Tekn Egitim Fak, TR-48187 Mugla, Turkey

[2] Mugla Sitki Kocman Univ, Bilisim Sistemleri Muhendisligi Bolumu, Teknol Fak, TR-48187 Mugla, Turkey

[3] Mugla Sitki Kocman Univ, Bilgisayar Muhendisligi Bolumu, Muhendisl Fak, TR-48187 Mugla, Turkey

来源：

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI | 2013年 / 19卷 / 02期

关键词：

Multi-Agent systems; Ant colony; NetLogo; Traveling salesman problem;

D O I：

10.5505/pajes.2013.32032

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Multi-agent systems (MAS) offer an effective way to model and Solve complex optimization problems. In this study, MAS and ant colonies have been used together to solve the Travelling Salesmen Problem (TSP). System simulation has been realized with NetLogo which is an agent-based programming environment. It has been explained in detail with code examples that how to use NetLogo for modeling and simulation of the problem. Algorithm has heel tested for different numbers of nodes and obtained results have been discussed.

引用

页码：88 / 96

页数：9

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