期刊名称：International Journal of Computer Science & Applications
印刷版ISSN：0972-9038
出版年度：2007
卷号：IV
期号：III
页码：30-44
出版社：Technomathematics Research Foundation
摘要：This paper proposes a hybrid optimization method based on the ant colony and clonal selection principles, in
which the cloning and mutation operations are embedded in the ant colony to enhance its search capability. The novel
algorithm is employed to deal with a few benchmark optimization problems under both static and dynamic
environments. Simulation results demonstrate the remarkable advantages of our approach in diverse optimal solutions,
closely tracking varying optimum, as well as improved convergence speed.
