 Ant colony optimization algorithms

Ant Colony Optimization (ACO) is a type of optimization algorithm inspired by the foraging behavior of ants. It was introduced by Marco Dorigo in the early 1990s as a part of his research on artificial intelligence and swarm intelligence. ACO is particularly well-suited for solving combinatorial optimization problems, such as the traveling salesman problem, vehicle routing, and various scheduling issues. ### Key Concepts of Ant Colony Optimization 1.