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Introduction to Ant Colony Algorithm and Its Application in CIMS
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作者 WANG Jian, WANG Yue-sheng, ZHOU Ya-jun (Department of Automation, Hangzhou Institute of Electronic and Engin eering, Hangzhou 310037, China) 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期182-,共1页
Ant colony algorithm is a novel simulated ecosystem e volutionary algorithm, which is proposed firstly by Italian scholars M.Dorigo, A . Colormi and V. Maniezzo. Enlightened by the process of ants searching for food ,... Ant colony algorithm is a novel simulated ecosystem e volutionary algorithm, which is proposed firstly by Italian scholars M.Dorigo, A . Colormi and V. Maniezzo. Enlightened by the process of ants searching for food , scholars bring forward this new evolutionary algorithm. This algorithm has sev eral characteristics such as positive feedback, distributed computing and stro nger robustness. Positive feedback and distributed computing make it easier to find better solutions. Based on these characteristics, this algorithm provides a possible way for complicated combinatorial optimization problems, especially i n the field of discrete system. After a brief review on the essential principle, the research state of ant colony algorithm, this paper especially discusses the application of ant colony algorithm in CIMS. 展开更多
关键词 ant colony algorithm CIMS combinatorial optimiz ation
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