期刊名称:International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN:1975-0080
出版年度:2014
卷号:9
期号:7
页码:395-402
DOI:10.14257/ijmue.2014.9.7.33
出版社:SERSC
摘要:Using ant colony algorithm to solve TSP (traveling salesman problem) has some disadvantages as easily plunging into local minimum, slow convergence speed and so on. In order to find the optimal path accurately and rapidly, an improved ant colony algorithm is proposed. Experimental results show that the improved ant colony algorithm has better effectiveness for TSP problems solutions.