Ant Colony Optimization

Ant Colony Optimization (ACO) is a metaheuristic algorithm inspired by the foraging behavior of ants searching for food, used to solve complex optimization problems. By simulating the way ants deposit pheromone trails to communicate and find the most efficient paths, ACO algorithms provide a robust and adaptive approach to tackling challenging problems in fields like logistics, finance, and computer networks, making it a valuable tool for tech professionals and researchers seeking innovative solutions to complex optimization challenges.