Comparative analysis of solving traveling salesman problem using artificial intelligence algorithms

• المؤلفون الرئيسيون: Brucal, Stanley Glenn E., Dadios, Elmer P.
• التنسيق: text
• منشور في: Animo Repository 2017
• الموضوعات: Artificial intelligence; Algorithms; Computer software—Development; Traveling salesman problem; Electrical and Computer Engineering; Electrical and Electronics
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/1562; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2561/type/native/viewcontent

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...