Artificial Ants

Artificial Ants are computer-based algorithms inspired by the foraging behavior of real ants. They simulate how ants search for food by leaving behind chemical trails called pheromones, which influence others to follow similar paths. In algorithms, artificial ants explore potential solutions to complex problems, such as optimizing routes or scheduling tasks, by 'probabilistically' choosing paths based on pheromone intensity and other factors. Over time, the best solutions accumulate stronger virtual pheromone signals, guiding subsequent ants toward optimal or near-optimal results. This process leverages collective, decentralized problem-solving, making it useful for tackling complex, multi-variable challenges efficiently.