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- W2017996706 abstract "The ant colony method is one of heuristic methods capable of solving the traveling salesman problem (TSP), in which a good tour is generated by the artificial ant's probabilistic behavior. However, the generated tour length depends on the parameter describing the ant's behavior, and the best parameters corresponding to the problem to be solved is unknown. In this technical note, the evolutional strategy is presented to find the best parameter of the ant colony by using Particle Swarm Optimization (PSO) in the parameter space. Numerical simulations for benchmarks demonstrate effectiveness of the evolutional ant colony method." @default.
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- W2017996706 date "2011-01-01" @default.
- W2017996706 modified "2023-10-18" @default.
- W2017996706 title "Evolutional Ant Colony Method Using PSO" @default.
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- W2017996706 doi "https://doi.org/10.1541/ieejeiss.131.1038" @default.
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