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Heuristics for Routing Heterogeneous Unmanned Vehicles with Fuel Constraints

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  • David Levy
  • Kaarthik Sundar
  • Sivakumar Rathinam

Abstract

This paper addresses a multiple depot, multiple unmanned vehicle routing problem with fuel constraints. The objective of the problem is to find a tour for each vehicle such that all the specified targets are visited at least once by some vehicle, the tours satisfy the fuel constraints, and the total travel cost of the vehicles is a minimum. We consider a scenario where the vehicles are allowed to refuel by visiting any of the depots or fuel stations. This is a difficult optimization problem that involves partitioning the targets among the vehicles and finding a feasible tour for each vehicle. The focus of this paper is on developing fast variable neighborhood descent (VND) and variable neighborhood search (VNS) heuristics for finding good feasible solutions for large instances of the vehicle routing problem. Simulation results are presented to corroborate the performance of the proposed heuristics on a set of 23 large instances obtained from a standard library. These results show that the proposed VND heuristic, on an average, performed better than the proposed VNS heuristic for the tested instances.

Suggested Citation

  • David Levy & Kaarthik Sundar & Sivakumar Rathinam, 2014. "Heuristics for Routing Heterogeneous Unmanned Vehicles with Fuel Constraints," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, April.
    • Handle: RePEc:hin:jnlmpe:131450
    DOI: 10.1155/2014/131450
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    Cited by:

    1. Zhu, Xiaoning & Yan, Rui & Peng, Rui & Zhang, Zhongxin, 2020. "Optimal routing, loading and aborting of UAVs executing both visiting tasks and transportation tasks," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    2. Keyong Lin & S. Nurmaya Musa & Hwa Jen Yap, 2022. "Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches," Sustainability, MDPI, vol. 14(4), pages 1-27, February.

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