Large neighbourhood search with adaptive guided ejection search for the pickup and delivery problem with time windows

Curtois, Timothy, Landa-Silva, Dario, Qu, Yi and Laesanklang, Wasakorn (2018) Large neighbourhood search with adaptive guided ejection search for the pickup and delivery problem with time windows. EURO Journal on Transportation and Logistics, 7 (2). pp. 151-192. ISSN 2192-4376

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Official URL: https://doi.org/10.1007/s13676-017-0115-6

Abstract

An effective and fast hybrid metaheuristic is proposed for solving the pickup and delivery problem with time windows. The proposed approach combines local search, large neighbourhood search and guided ejection search in a novel way to exploit the benefits of each method. The local search component uses a novel neighbourhood operator. A streamlined implementation of large neighbourhood search is used to achieve an effective balance between intensification and diversification. The adaptive ejection chain component perturbs the solution and uses increased or decreased computation time according to the progress of the search. While the local search and large neighbourhood search focus on minimising travel distance, the adaptive ejection chain seeks to reduce the number of routes. The proposed algorithm design results in an effective and fast solution method that finds a large number of new best-known solutions on a well-known benchmark dataset. Experiments are also performed to analyse the benefits of the components and heuristics and their combined use to achieve a better understanding of how to better tackle the subject problem.

Item Type: Article
Uncontrolled Keywords: Large neighbourhood, Guided ejection, Vehicle routing
Subjects: G200 Operational Research
G400 Computer Science
G700 Artificial Intelligence
Department: Faculties > Business and Law > Newcastle Business School > Business and Management
Depositing User: Yi Qu
Date Deposited: 22 Jan 2018 13:04
Last Modified: 08 Aug 2018 08:30
URI: http://nrl.northumbria.ac.uk/id/eprint/33152

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