An ILS-biased randomization algorithm for the two-dimensional loading HFVRP with sequential loading and items rotation

Oscar L. Domínguez Rivero , Angel A. Juan Pérez, Ignacio A. de la Nuez Pestana , Djamila Ouelhadj

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Abstract

This paper discusses the Two-dimensional Loading Vehicle Routing Problem with Heterogeneous Fleet, Sequential Loading, and Items Rotation (2L-HFVRP-SR). Despite the fact that the 2L-HFVRP-SR can be found in many real-life situations related to the transportation of voluminous items where heterogeneity of fleets, twodimensional packing restrictions, sequential loading, and items rotation have to be considered, this rich version of vehicle routing-and-packing problem has been rarely analyzed in the literature. Accordingly, this paper contributes to fill this gap by presenting a relatively simple-to-implement algorithm which is able to provide state-of-the-art solutions for such a complex problem in short computation times. The proposed algorithm integrates, inside an Iterated Local Search framework, biased-randomized versions of both vehicle routing and packing heuristics. The efficiency of the proposed algorithm is validated throughout an extensive set of computational tests.
Original languageEnglish
Pages (from-to)37–53
Number of pages17
JournalJournal of the Operational Research Society
Volume67
Issue number1
Early online date1 Jul 2015
DOIs
Publication statusPublished - Jan 2016

Keywords

  • routing
  • biased randomization
  • iterated local search
  • heterogeneous fleet
  • packing

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