Wassan, Niaz A., Salhi, Said, Nagy, Gábor (2009) Solving the mixed VRP with backhauling using ants. AIP Conference Proceedings, 1159 . pp. 248-253. ISSN 0094-243X. (doi:10.1063/1.3223937) (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:37777)
| 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/10.1063/1.3223937 |
|
Abstract
The mixed vehicle routing problem with backhauls is investigated using an 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 a 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: | 10.1063/1.3223937 |
| Uncontrolled keywords: | Ant system metaheuristic, Mixed backhauling, Vehicle scheduling |
| Subjects: | H Social Sciences |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
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| Depositing User: | Said Salhi |
| Date Deposited: | 10 Jan 2014 10:31 UTC |
| Last Modified: | 20 May 2025 12:01 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/37777 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0003-0153-7646
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