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

Salhi, Said
Thangiah, Sam R.
Rahman, Fuad

Publication date

June 1998

DOI

10.1007/978-3-7091-6492-1_51

Publisher

Springer Science and Business Media LLC

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

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

Abstract

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

Abstract

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