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An ant colony system for responsive dynamic vehicle routing

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  • Schyns, M.

Abstract

We present an algorithm based on an ant colony system to deal with a broad range of Dynamic Capacitated Vehicle Routing Problems with Time Windows, (partial) Split Delivery and Heterogeneous fleets (DVRPTWSD). We address the important case of responsiveness. Responsiveness is defined here as completing a delivery as soon as possible, within the time window, such that the client or the vehicle may restart its activities. We develop an interactive solution to allow dispatchers to take new information into account in real-time. The algorithm and its parametrization were tested on real and artificial instances. We first illustrate our approach with a problem submitted by Liege Airport, the 8th biggest cargo airport in Europe. The goal is to develop a decision system to optimize the journey of the refueling trucks. We then consider some classical VRP benchmarks with extensions to the responsiveness context.

Suggested Citation

  • Schyns, M., 2015. "An ant colony system for responsive dynamic vehicle routing," European Journal of Operational Research, Elsevier, vol. 245(3), pages 704-718.
    • Handle: RePEc:eee:ejores:v:245:y:2015:i:3:p:704-718
    DOI: 10.1016/j.ejor.2015.04.009
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    4. Moosavi, Amirhossein & Ozturk, Onur & Patrick, Jonathan, 2022. "Staff scheduling for residential care under pandemic conditions: The case of COVID-19," Omega, Elsevier, vol. 112(C).
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    6. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
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