Programming for Mathematical Applications
Ant Colony Optimization (ACO) is a metaheuristic algorithm inspired by the foraging behavior of ants, used to solve complex optimization problems. This algorithm mimics how ants find the shortest path to food by laying down pheromones on paths they traverse, allowing other ants to follow and reinforce successful routes over time. It is particularly effective for combinatorial optimization tasks, such as the traveling salesman problem or network routing.
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