Numerical Analysis II
Ant Colony Optimization is a global optimization algorithm inspired by the foraging behavior of ants. This algorithm simulates the way ants find the shortest paths to food sources, using pheromones as a form of communication and guidance. By exploring various solutions and reinforcing successful paths through positive feedback, Ant Colony Optimization effectively solves complex optimization problems in diverse fields such as routing, scheduling, and resource allocation.
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