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控制理论与应用 2000
A Self-Adaptive Ant Colony Algorithm
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Abstract:
Ant colony algorithm is a novel simulated evolutionary algorithm which is proposed first by Italian scholars M.Dorigo, A.Colormi, and V. Maniezzo. Preliminary study has shown that it has many promising futures. It provides a possible way for complicated combinatorial optimization problems,so it interests many scholars. Unfortunately, however it has some shortcomings such as needing much time and easier occuring of stagnation behaviour. In view of the deficiency of research of ant colony algorithm at home, this paper presents a brief review on the research state of ant colony algorithm with hope to be helpful to the corresponding research work.