Comparative analysis of solving traveling salesman problem using artificial intelligence algorithms

• Main Authors: Brucal, Stanley Glenn E., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2017
• Subjects: Artificial intelligence; Algorithms; Computer software—Development; Traveling salesman problem; Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1562; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2561/type/native/viewcontent
• Institution: De La Salle University

This paper aims to provide a comparative study of the different artificial intelligence (AI) algorithms applied to solve the traveling salesman problem (TSP). Four (4) AI algorithms such as genetic algorithm, nearest neighbor, ant colony optimization, and neuro-fuzzy are executed in MatLab software...