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Ant Colony Optimization: A New Meta-Heuristicedited by: Peter J. Angeline, Zbyszek Michalewicz, Marc Schoenauer, Xin Yao, Ali ZalzalaIn Proceedings of the Congress on Evolutionary Computation, Vol. 2 (June-September 1999), pp. 1470-1477.
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AbstractThis article presents an overview of recent work on ant algorithms, that is, algorithms for discrete optimization that took inspiration from the observation of ant colonies' foraging behavior, and introduces the ant colony optimization (ACO) metaheuristic. In the first part of the article the basic biological findings on real ants are reviewed and their artificial counterparts as well as the ACO metaheuristic are defined. In the second part of the article a number of applications of ACO...
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