期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：9
页码：8085-8091
出版社：IJECS
摘要：Various natural systems teach us that very simple individual organisms can create systems able to solve the complex problemslike optimization. Ant Colony Optimization (ACO) is an agent-based technique, which simulates the natural behavior of ants anddevelops mechanisms of cooperation and learning. Ant Colony Optimization is a metaheuristic approach for solving hardcombinatorial optimization problems. The main idea of ACO is to model a problem as the search for a minimum cost path in agraph. Ant Colony Optimization has been successfully applied to scheduling, vehicle routing, and the sequential orderingproblems. A review of several Ant Colony Optimization algorithms is done in this paper
