A novel framework of hyper-heuristic approach and its application in location-routing problem with simultaneous pickup and delivery

Yanwei Zhao (), Longlong Leng and Chunmiao Zhang
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Yanwei Zhao: Zhejiang University of Technology
Longlong Leng: Zhejiang University of Technology
Chunmiao Zhang: Zhejiang University of Technology

Operational Research, 2021, vol. 21, issue 2, No 21, 1299-1332

Abstract: Abstract This paper addresses a new variant of location-routing problem (LRP), namely the LRP with simultaneous pickup and delivery (LRPSPD). A hyper-heuristic approach based on iterated local search (ILS-HH) is introduced to automatically optimize the LRPSPD. On basis of the novel proposed framework of hyper-heuristic, four selections mechanisms and five activation strategies are developed to examine the performance of the proposed framework. Three types computational evaluations were carried out and several conclusions can be drawn: (1) the proposed framework performs better than the classical one with performing several heavy-duty combinations of strategies in terms of solution quality and computing time; (2) different activated strategies have slight (not significant) effect on exploiting best solutions; (3) FRR-MAB-TS (fitness ratio rank based on multi-armed bandit with tabu search) works best among all selection methods. Moreover, the proposed approach could provide competitive, even better results compared to fine-tuned bespoke state-of-the-art approaches.

Keywords: Location-routing problem; Simultaneous pickup and delivery; Reverse logistics; Hyper-heuristic; Heuristic (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s12351-019-00480-6

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