期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2013
卷号：2
期号：2
页码：352-358
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In recent decades, with the introduction of optimization problems, new methods of was optimizing developed. The most important group of optimization techniques is meta-heuristic method. That is able to solve the problems of combination optimizing. The major problems in the combination optimizing such as Dynamic Travelling Salesman Problem (DTSP) is a kind of problems that is close answer to the optimum will introduce in them. So using of the meta-heuristic methods in this kind of problems was the case of concentration in the current years. In this paper a new algorithm based on Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) as the name of ACO-PSO is proposed which of PSO algorithm for tuning parameters of ACO and establishing a balance between global search and local search is used. Experimental results show that the proposed method has good performance.
