Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery

Duc Minh Vu, Mike Hewitt and Duc D. Vu

European Journal of Operational Research, 2022, vol. 302, issue 3, 831-846

Abstract: In this paper, we present exact methods for solving the Time Dependent Minimum Tour Duration Problem (TD-MTDP) and the Time Dependent Delivery Man Problem (TD-DMP). Both methods are based on a Dynamic Discretization Discovery (DDD) approach for solving the Time Dependent Traveling Salesman Problem with Time Windows (TD-TSPTW). Unlike the TD-TSPTW, these problems involve objective functions that depend in part on the time at which the vehicle departs the depot. As such, optimizing these problems adds a scheduling dimension to the problem. We present multiple enhancements to the DDD method, including enabling it to dynamically determine which waiting opportunities at the depot to model. With an extensive computational study we demonstrate that the resulting methods outperform all known methods for both the TD-MTDP and TD-DMP on instances taken from the literature.

Keywords: Traveling salesman problem; Time dependent travel times; Duration; Delivery man; Dynamic discretization discovery (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:302:y:2022:i:3:p:831-846

DOI: 10.1016/j.ejor.2022.01.029

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