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Vehicle routing problem with deliveries and pickups: Modelling issues and meta-heuristics solution approaches

Wassan, Niaz A., Nagy, Gábor (2014) Vehicle routing problem with deliveries and pickups: Modelling issues and meta-heuristics solution approaches. International Journal of Transportation, 2 (1). pp. 95-110. ISSN 2287-7940. (doi:10.14257/ijt.2014.2.1.06) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37778)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.14257/ijt.2014.2.1.06

Abstract

The paper investigates a class of extensions to the vehicle routing problem. Different

problem versions – some well-known, some more recent – are explained and placed in a

taxonomy. A central focus of the paper is on the assumptions generally made in the

literature and on the benefits of not making too restrictive assumptions. Research issues

on novel problem classes are highlighted. An Integer Linear Programming (ILP)

formulation is also presented. It is also shown how this formulation can be adapted to

cater for other problem versions. This paper also discusses various solution

methodologies including meta-heuristics to solve the models and what more is needed the

vehicle routing problem.

Item Type: Article
DOI/Identification number: 10.14257/ijt.2014.2.1.06
Uncontrolled keywords: Logistics, Transportation, Vehicle routing, Metaheuristics, Backhauling, Optimization
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Tracey Pemble
Date Deposited: 10 Jan 2014 10:47 UTC
Last Modified: 19 Sep 2023 15:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37778 (The current URI for this page, for reference purposes)

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