Summary
We develop the Ant Colony approach for the classical Set Covering problem. As artificial ants we use three randomized greedy heuristics: GRASP heuristic and two asymptotically exact heuristics Random Neighborhood and Random Covering Set. We study the influence of the main control parameters and present new ideas for accumulating and exploiting of statistical information. Computational results for difficult benchmarks are discussed.
This work was supported by the RFBR grant 99-01-00510.
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Alexandrov, D., Kochetov, Y. (2000). Behavior of the Ant Colony Algorithm for the Set Covering Problem. In: Inderfurth, K., Schwödiauer, G., Domschke, W., Juhnke, F., Kleinschmidt, P., Wäscher, G. (eds) Operations Research Proceedings 1999. Operations Research Proceedings 1999, vol 1999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58300-1_38
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DOI: https://doi.org/10.1007/978-3-642-58300-1_38
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