Title :
TSP Solution Based on the Ant Colony Algorithm
Author :
Yingying Yu ; Yan Chen ; Yuqin Wen
Author_Institution :
Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
Traveling salesman problem, a very famous NP-hard problem, has attracted a lot of attention in recent years. People focus on how to quickly get the optimal solution. In this paper, we first give the basic description of TSP, and then introduce the main idea and mechanisms of ant colony algorithm in detail. After that, the paper makes a further discussion on the steps and principles of the application in TSP. Finally, to illustrate it more clearly, a program based on the ant colony algorithm has been implemented. Through the experiments and the result graphics, it is clearly showed that this algorithm can effectively complete the search process and has a good performance in solving this problem.
Keywords :
ant colony optimisation; computational complexity; search problems; travelling salesman problems; NP-hard problem; TSP solution; ant colony algorithm; combinatorial optimization area; search process; traveling salesman problem; Cities and towns; Educational institutions; Heuristic algorithms; Optimization; Probability; Search problems; Traveling salesman problems; Ant Colony Algorithm; Traveling Salesman Problem; pheromone;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.256