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. | |
| 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 |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
|
| Depositing User: | Said Salhi |
| Date Deposited: | 27 Jun 2013 15:21 UTC |
| Last Modified: | 20 May 2025 12:01 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/34436 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):

https://orcid.org/0000-0003-0153-7646
Altmetric
Altmetric