Salhi, Said and Thangiah, Sam R. and Rahman, Fuad (1998) A Genetic Clustering Method of the Multi-Depot Vehicle Routing Problem. In: Smith, G.D. and Steel, N.C, eds. Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference. Springer, Vienna, Austria, pp. 234-237. ISBN 978-3-211-83087-1. E-ISBN 978-3-7091-6492-1. (doi:10.1007/978-3-7091-6492-1_51) (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:5270)
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/10.1007/978-3-7091-6492-1_51 |
Abstract
A clustering method based on a genetic algorithm for solving the multi-depot routing problem is proposed. An efficient post optimiser enhanced by reduction tests is embedded into the search to further improve the solutions. Preliminary results, based on a set of problems given in the literature, are encouraging.
Item Type: | Book section |
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DOI/Identification number: | 10.1007/978-3-7091-6492-1_51 |
Uncontrolled keywords: | Genetic Algorithm; Travel Salesman Problem; Genetic Cluster; Vehicle Rout Problem; Reduction Test |
Subjects: | H Social Sciences |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Said Salhi |
Date Deposited: | 24 Jun 2009 14:36 UTC |
Last Modified: | 05 Nov 2024 09:37 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/5270 (The current URI for this page, for reference purposes) |
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