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- W2912221773 abstract "In the process of logistics task allocation, the number of logistics truck is limited. How to make use of the limited delivery truck to deliver all the goods in the region to the destination quickly and reduce the transportation cost as far as possible is one of the objectives of logistics enterprise development. This paper presents a modified ant colony optimization for this problem. The algorithm combines ant colony optimization and k-opt algorithm to solve the instability of the optimization result of ant colony optimization. Through combinatorial optimization algorithm, the logistics task is rationalized and distributed scientifically, so as to improve the efficiency of truck use, thus improving the core competitiveness of logistics enterprises." @default.
- W2912221773 created "2019-02-21" @default.
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- W2912221773 date "2018-11-01" @default.
- W2912221773 modified "2023-10-16" @default.
- W2912221773 title "Multi-task Assignment of Logistics Distribution based on Modified Ant Colony Optimization" @default.
- W2912221773 cites W2587548794 @default.
- W2912221773 doi "https://doi.org/10.1109/cac.2018.8623340" @default.
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