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- W2895770285 abstract "In order to solve the vehicle routing problem with time windows of interference in the process of logistics distribution such as time window, demand changes and so on, an improved Pareto ant colony algorithm is proposed to minimize the length in this paper. Firstly, according to the customer time window changes and the characteristics of this kind of interference, two kinds of jamming events disturbance recovery strategies are put forward. Then the ant transition probability is defined based on the principles of saving, and the Pareto optimal solution set of global pheromone updating rule is used to improve the performance of the standard ant colony algorithm. Through the experiment, the simulation result shows that the algorithm improves the global search ability of the algorithm which effectively avoids the algorithm falling into local optimum and reduces the total distribution." @default.
- W2895770285 created "2018-10-12" @default.
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- W2895770285 date "2018-10-05" @default.
- W2895770285 modified "2023-09-24" @default.
- W2895770285 title "An Improved Pareto Ant Colony Algorithm for Interference Vehicle Scheduling Problem" @default.
- W2895770285 cites W2111563176 @default.
- W2895770285 doi "https://doi.org/10.1007/978-3-030-00214-5_141" @default.
- W2895770285 hasPublicationYear "2018" @default.
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