Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows

The Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is a practical transportation routing and scheduling problem arising from real-world scenarios. It shares some common features with some classic VRP variants. The problem has a tightly constrained large-scale solution space and re...

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Main Authors: Chen, Binhui, Qu, Rong, Ishibuchi, Hisao
Format: Conference or Workshop Item
Published: 2017
Online Access:https://eprints.nottingham.ac.uk/48713/
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author Chen, Binhui
Qu, Rong
Ishibuchi, Hisao
author_facet Chen, Binhui
Qu, Rong
Ishibuchi, Hisao
author_sort Chen, Binhui
building Nottingham Research Data Repository
collection Online Access
description The Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is a practical transportation routing and scheduling problem arising from real-world scenarios. It shares some common features with some classic VRP variants. The problem has a tightly constrained large-scale solution space and requires well balanced diversification and intensification in search. In Variable Depth Neighbourhood Search, large neighbourhood depth prevents the search from trapping into local optima prematurely, while small depth provides thorough exploitation in local areas. Considering the multi-dimensional solution structure and tight constraints in OPVRPTW, a Variable-Depth Adaptive Large Neighbourhood Search (VD-ALNS) algorithm is proposed in this paper. Contributions of four tailored destroy operators and three repair operators at variable depths are investigated. Comparing to existing methods, VD-ALNS makes a good trade-off between exploration and exploitation, and produces promising results on both small and large size benchmark instances.
first_indexed 2025-11-14T20:10:07Z
format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T20:10:07Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling nottingham-487132020-05-04T19:07:28Z https://eprints.nottingham.ac.uk/48713/ Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows Chen, Binhui Qu, Rong Ishibuchi, Hisao The Open Periodic Vehicle Routing Problem with Time Windows (OPVRPTW) is a practical transportation routing and scheduling problem arising from real-world scenarios. It shares some common features with some classic VRP variants. The problem has a tightly constrained large-scale solution space and requires well balanced diversification and intensification in search. In Variable Depth Neighbourhood Search, large neighbourhood depth prevents the search from trapping into local optima prematurely, while small depth provides thorough exploitation in local areas. Considering the multi-dimensional solution structure and tight constraints in OPVRPTW, a Variable-Depth Adaptive Large Neighbourhood Search (VD-ALNS) algorithm is proposed in this paper. Contributions of four tailored destroy operators and three repair operators at variable depths are investigated. Comparing to existing methods, VD-ALNS makes a good trade-off between exploration and exploitation, and produces promising results on both small and large size benchmark instances. 2017-09-18 Conference or Workshop Item PeerReviewed Chen, Binhui, Qu, Rong and Ishibuchi, Hisao (2017) Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows. In: The 19th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation, 18-20 September 2017, Barcellona, Spain. http://www.msc-les.org/proceedings/hms/hms2017/hms2017_25.html
spellingShingle Chen, Binhui
Qu, Rong
Ishibuchi, Hisao
Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows
title Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows
title_full Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows
title_fullStr Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows
title_full_unstemmed Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows
title_short Variable-depth adaptive large meighbourhood search algorithm for Open Periodic Vehicle Routing Problem with time windows
title_sort variable-depth adaptive large meighbourhood search algorithm for open periodic vehicle routing problem with time windows
url https://eprints.nottingham.ac.uk/48713/
https://eprints.nottingham.ac.uk/48713/