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- W4285818625 abstract "This paper studies a bi-objective vehicle routing problem considering both travel cost and workload balance. Different from the existing research, the workload balance is calculated by workload variance and average value. We propose an improved multi-objective ant colony algorithm (MO-ACOTC) to eliminate distorted solutions and use a new global pheromone update strategy. The algorithm also designs a travel constraint mechanism to dynamically control the workload for each vehicle. The experimental results on traditional and revised instances show that the algorithm can obtain satisfactory solutions." @default.
- W4285818625 created "2022-07-19" @default.
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- W4285818625 date "2022-01-01" @default.
- W4285818625 modified "2023-09-24" @default.
- W4285818625 title "An Improved Ant Colony Algorithm for Vehicle Routing Problem with Workload Balance" @default.
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- W4285818625 doi "https://doi.org/10.1007/978-981-19-4546-5_41" @default.
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