Title

Meta-RaPS: a simple and effective approach for solving the traveling salesman problem

Authors

Authors

G. W. DePuy; R. J. Moraga;G. E. Whitehouse

Comments

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Abbreviated Journal Title

Transp. Res. Pt. e-Logist. Transp. Rev.

Keywords

meta-heuristic; TSP; cheapest insertion; GRASP; SEARCH; NET; Economics; Engineering, Civil; Operations Research & Management Science; Transportation; Transportation Science & Technology

Abstract

This paper investigates the development and application of a general meta-heuristic, Meta-RaPS (metaheuristic for randomized priority search), to the traveling salesman problem (TSP). The Meta-RaPS approach is tested on several established test sets. The Meta-RaPS approach outperformed most other solution methodologies in terms of percent difference from optimal. Additionally, an industry case study that incorporates Meta-RaPS TSP in a large truck route assignment model is presented. The company estimates a more than 50% reduction in engineering time and over $2.5 million annual savings in transportation costs using the automated Meta-RaPS TSP tool compared to their current method. (C) 2004 Elsevier Ltd. All rights reserved.

Journal Title

Transportation Research Part E-Logistics and Transportation Review

Volume

41

Issue/Number

2

Publication Date

1-1-2005

Document Type

Article

Language

English

First Page

115

Last Page

130

WOS Identifier

WOS:000226334000003

ISSN

1366-5545

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