🐜🐜 Nature inspired algorithms

Ants do not know global maps. They find food by:

Randomly exploring paths between the nest and food source.

Depositing pheromones on the ground as they move.

Following pheromone trails left by others (probabilistic choice).

Over time, shorter paths get reinforced because ants traveling them return faster and deposit more pheromones, while longer paths evaporate.

This collective behavior enables ants to converge on the shortest (or near-optimal) path to food

Routing, where dynamic re-configurations are frequent e.g. mesh networks, Mobile ad-hoc networks, sensor networks, packet routing, all use ant colony optimization algorithms to solve the problem.

Nature has solved many things for us.