1.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 2.Department of Automation, University of Science and Technology of China, Hefei 230027
Abstract：Basic ant colony algorithm, which is based on bionics, has been successfully used in many fields, especially on combinatorial optimization problems. Because many parameters need to be adjusted in application, it is inconvenient for many users especially those who have little experience. A novel ant colony algorithm based on real time model, which regresses to the base of ant colony algorithm is put forward. It is supposed that each ant’s velocity is equal to dmin per second and all ants are crawling in full time. Ants communicate with others by the pheromone that is left on the road. After some time the ants’ trails will be on the optimal route between the food and the nest. It is testified by the experiment that the novel algorithm is as efficient as other ant colony algorithms and it is simpler to justify the parameters. This novel algorithm also can be used in simulating application and distributed computing.
左洪浩，熊范纶. 基于时间模型的蚁群算法*[J]. 模式识别与人工智能, 2006, 19(2): 215-219.
ZUO HongHao, XIONG FanLun. A Novel Ant Colony Algorithm Based on Time Model. , 2006, 19(2): 215-219.
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2006, Vol. 19 
