AN OPTIMIZATION METHOD INSPIRED BY "CHAOTIC" ANT BEHAVIOR
Lixiang Li, Yixian Yang, Haipeng Peng, Xiangdong Wang · International Journal of Bifurcation and Chaos · 2006
Inspired by the behavior of the ants in nature, we propose an optimization method, which combines the chaotic behavior of individual ants with the intelligent optimization action of an ant colony. Our method includes both effects of chaotic dynamics and swarm-based search. It is a deterministic process different from the conventional ant algorithm. The nonlinear dynamics of the proposed method are analyzed, and we show how the algorithm, called chaotic ant swarm optimization, can be applied to numerical optimization problems with encouraging results.