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Solving the Mixed Backhauling Vehicle Routing: Problem with Ants

Wassan, Niaz A., Salhi, Said, Nagy, Gábor, Wade, Anne C. (2013) Solving the Mixed Backhauling Vehicle Routing: Problem with Ants. International Journal of Energy Optimization and Engineering, 2 (2). ISSN 2160-9500. (doi:10.4018/ijeoe.2013040105) (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:34436)

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. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.4018/ijeoe.2013040105

Abstract

The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This distribution problem seems to suffer from a lack of published work even though it has immense practical applicability especially within logistic systems. Some enhancements to the basic ant system algorithm are embedded into the search. In particular a focus is on the choice in the placement of ants, the use of site-dependent candidate list, the introduction of a look ahead-based visibility, and appropriate strategies for updating local and global trails. Encouraging computational results are reported when tested on benchmark data sets.

Item Type: Article
DOI/Identification number: 10.4018/ijeoe.2013040105
Subjects: H Social Sciences
H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School
Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Said Salhi
Date Deposited: 27 Jun 2013 15:21 UTC
Last Modified: 08 Feb 2020 04:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/34436 (The current URI for this page, for reference purposes)
Wassan, Niaz A.: https://orcid.org/0000-0003-0153-7646
Salhi, Said: https://orcid.org/0000-0002-3384-5240
Nagy, Gábor: https://orcid.org/0000-0002-7609-5718
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