This paper describes an improved ant-inspired algorithm for finding good paths, such as routes for robots or navigation systems. Instead of searching too randomly, it puts more attention on promising areas early, strengthens better routes as it learns, and discourages unnecessary turns, so it finds smoother and better paths faster.
In plain terms, it is a smarter version of “virtual ants leaving trails,” designed to reach a good route more quickly and with less wandering. The reported tests say it beat several standard ant-colony methods on both speed and path quality.
