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A Genetic Clustering Method of the Multi-Depot Vehicle Routing Problem

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. (Contact us about this Publication)
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
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: 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: 24 Jun 2009 14:36 UTC
Last Modified: 08 Feb 2020 04:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/5270 (The current URI for this page, for reference purposes)
Salhi, Said: https://orcid.org/0000-0002-3384-5240
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