Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
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Ants are social insects that work in groups to collectively achieve certain goals that cannot be achieved by a single ant. One of the most interesting ants' behaviors is the highly optimized path that ants follow, in their foraging, between the source of food and the colony's nest. Researchers are inspired by such optimized behavior in several applications. In this paper we introduce an integrated environment for ants-like agents based on such ants' behavior. Our model can simulate and test the behavior of such agents under various conditions and environment changes.