期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2012
卷号：2
期号：4
页码：468-472
出版社：Technopark Publications
摘要：ANT colony optimization (ACO) is a meta-heuristic optimization algorithm , inspired by occurrence of the natural phenomenon [1],[2],that ants deposit pheromone in on their way in order to mark some favorable path that should be followed by other ants of the colony. ACO has different applications like Traveling Sales Person problem. Now we propose a modified ACO on image edge detection problem, where our aim is to extract the edge information from the image. Our approach utilizes a more number of artificial ants than traditional ACO. We increased the dependence of heuristic information when compared to general ACO and also modified the heuristic function
