Gezgin Satıcı Probleminin Karınca Kolonisi ve Genetik Algoritmalarla Eniyilemesi ve Karşılaştırılması

• Main Authors: Hasan DİKMEN, Hüseyin DİKMEN, Ahmet ELBİR, Ziya EKŞİ, Fatih ÇELİK
• Format: Article
• Language: English
• Published: Suleyman Demirel University 2014-06-01
• Series: Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi
• Subjects: Travelling Salesman Problem one of artificial intelligence techniques were compared in order to solve traveling
• Online Access: http://dergipark.ulakbim.gov.tr/sdufenbed/article/view/1089004530
• ISSN: 1308-6529

Inthisstudy, performance of Ant Colony and Genetic Algorithms that is map of Turkey is aimed to find. Performance of the sealgorithms in terms of route distance and route prediction time were investigated. A C#-based interface was designed for implementation of the application and monitoring of the experimental results. As a result of the application, it is observed that Ant Colony algorithm has more high performance than genetic algorithm in terms of both route distance and performance time