Author/Authors :
TUKER, Mustafa Muğla Sıtkı Koçman Üniversitesi - Teknik Eğitim Fakültesi - Elektronik Bilgisayar Eğitimi Bölümü, Turkey , BALLI, Serkan Muğla Sıtkı Koçman Üniversitesi - Teknoloji Fakültesi - Bilişim Sistemleri Mühendisliği Bölümü, Turkey , PEMBECİ, İzzet Muğla Sıtkı Koçman Üniversitesi - Mühendislik Fakültesi - Bilgisayar Mühendisliği Bölümü, Turkey
Title Of Article :
ANT COLONY OPTIMIZATION IN MULTI-AGENT SYSTEMS WITH NETLOGO
Abstract :
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 been tested for different numbers of nodes and obtained results have been discussed.
NaturalLanguageKeyword :
Multi , Agent systems , Ant colony , NetLogo , Traveling salesman problem
JournalTitle :
Pamukkale University Journal Of Engineering Sciences
