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- W2144156935 abstract "Facing distribution channel restructuring and quick response to the diversity of customer order demands, the specialized logistics companies have been urgently requested with the capability of allocating limited resources in the process of logistics allocation control and decision. Ant colony algorithm is proposed aiming at solving the logistics allocation problem, and pheromone updating strategy is ameliorated to improve the efficiency. The result of experiments demonstrates that the optimal or nearly optimal solutions to the logistic distribution routing can be quickly obtained by improved ant colony algorithm." @default.
- W2144156935 created "2016-06-24" @default.
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- W2144156935 date "2009-01-01" @default.
- W2144156935 modified "2023-10-18" @default.
- W2144156935 title "Optimizing Dynamic Logistics Allocation on Improved Ant Colony Algorithm" @default.
- W2144156935 cites W2118051273 @default.
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- W2144156935 doi "https://doi.org/10.1109/icicta.2009.525" @default.
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