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- W2072770619 abstract "Vehicle routing problem with time Windows (VRPTW) that is a kind of important extension type for VPR. In view of problem which the ant colony algorithm in solving VRPTW easily plunged into local optimum , this paper defines a new ant transition probability of saving ideas, and uses the Pareto optimal solution set of global pheromone updating rule, and puts forward a kind of improved Pareto ant colony algorithm (IPACA) . Through the simulation experiments show that IPACA improves the global search ability of ACA, effectively avoids the algorithm falls into local optimum, and reduces the total distribution cost (distance), so as to verify the effectiveness of the proposed algorithm." @default.
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- W2072770619 date "2014-09-01" @default.
- W2072770619 modified "2023-09-24" @default.
- W2072770619 title "A Improved Pareto of Ant Colony Algorithm to Solve the Vehicle Routing Problem with Time Windows" @default.
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- W2072770619 doi "https://doi.org/10.4028/www.scientific.net/amr.1030-1032.1941" @default.
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