| Alternate document: Details Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem (96) Marco Dorigo, et al. |
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Abstract: An analogy with the way ant colonies function has suggested the definition of a new computational
paradigm, which we call Ant System. We propose it as a viable new approach to stochastic combinatorial
optimization. The main characteristics of this model are positive feedback, distributed computation, and the use
of a constructive greedy heuristic. Positive feedback accounts for rapid discovery of good solutions, distributed
computation avoids premature convergence, and the greedy heuristic... (Update)
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BibTeX entry: (Update)
M. Dorigo, V. Maniezzo, and A.Colorni, "The ant system: optimization by a colony of cooperating agents," IEEE Transactions on Systems, Man, and Cybernetics--Part B , vol. 26, No. 2, pp. 29--41, 1996. http://citeseer.ist.psu.edu/dorigo96ant.html More
@article{ dorigo96nt,
author = "Marco Dorigo and Vittorio Maniezzo and Alberto Colorni",
title = "The {A}nt {S}ystem: {O}ptimization by a colony of cooperating agents",
journal = "IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics",
volume = "26",
number = "1",
pages = "29--41",
year = "1996",
url = "citeseer.ist.psu.edu/dorigo96ant.html" }
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