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- W4387620843 abstract "A large-scale consistent vehicle routing problem is under consideration. In the problem, a company has a fleet of capacitated vehicles located in multiple depots, and there is a set of customers requiring a service. Vehicle routing is performed on a given planning horizon, and a vehicle should not exceed a limit on working hours per day. Each customer has a frequency of visits, which indicates how many times the customer must be visited during the planning horizon. Besides, to ensure consistency in the schedule, a customer should be visited by the same driver, and the time intervals between two consecutive visits must be the same. This allows the company to gain a competitive advantage by improving its service quality. Total travel costs are minimized in the problem while satisfying all the constraints. We present a POPMUSIC-based decomposition approach aimed to solve large-scale instances of the problem. The idea behind this approach is to improve the quality of a solution by iteratively solving subproblems of an overall problem. To get a solution for the overall problem and its subproblems, we use the variable neighborhood search (VNS) scheme developed by us previously. In the computational experiments section, we show a comparison of applying VNS for the whole problem and applying two different decomposition strategies: route- and customer-based ones." @default.
- W4387620843 created "2023-10-14" @default.
- W4387620843 creator A5075123683 @default.
- W4387620843 date "2023-08-14" @default.
- W4387620843 modified "2023-10-15" @default.
- W4387620843 title "Decomposition Strategies for Solving a Large-Scale Consistent Vehicle Routing Problem" @default.
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- W4387620843 doi "https://doi.org/10.1109/opcs59592.2023.10275767" @default.
- W4387620843 hasPublicationYear "2023" @default.
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