Ant colony simulation

Ant colony simulation is a computational method inspired by the behavior of real ants. In nature, ants find optimal paths to food sources using pheromones, which they lay down and follow. This simulation mimics that process to solve complex problems, like finding the shortest route in a network. By representing agents as virtual ants that explore and share information, the simulation can efficiently discover solutions to challenges in logistics, networking, and scheduling. It's an example of how observing nature can lead to innovative algorithms and models in computer science and various practical applications.