A Brief Review of Ant Algorithms

Shukai Cai, Yanbin Jiang · 2009

Ant algorithm optimization is a technique for optimization that was introduced in the early 1990's. The inspiring source of ant colony optimization is the foraging behavior of real ant colonies. It has widely use in discrete optimization problems, to continuous optimization problems. In this article, we give a brief review of the development process of Ant Algorithms, present some of the nowadays best performing ant colony optimization variants. By systematic review the theory of mainstream ant algorithm, we summarizing some important theoretical results. Finally, we propose some theoretic and realistic research points for the ant algorithm.

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