Global strategies for augmenting the efficiency of TSP heuristics

Bruno Codenotti, Giovanni Manzini, Luciano Margara, Giovanni Resta

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Abstract

In this paper we introduce two different techniques, clustering and perturbation, which use global information on TSP instances to speed-up and improve the quality of the tours found by heuristic methods. This global information is related to two correspondent features of any instance, namely distribution and sensitivity. The performance of our techniques has been tested and compared with known methods. To this end, we performed a number of experiments both on test instances, for which the optimal tour length is known, and on uniformly distributed instances, for which the comparison is done with the Held-Karp lower bound. The experimental results show that our techniques are competitive with the most efficient known methods. It turns out that the viewpoint used in this paper is very satisfactory and deserves further examination.

Lingua originaleInglese
Titolo della pubblicazione ospiteAlgorithms and Data Structures - 3rd Workshop, WADS 1993, Proceedings
EditorFrank Dehne, Jorg-Rudiger Sack, Nicola Santoro, Sue Whitesides
EditoreSpringer Verlag
Pagine253-264
Numero di pagine12
ISBN (stampa)9783540571551
DOI
Stato di pubblicazionePubblicato - 1993
Pubblicato esternamente
Evento3rd Workshop on Algorithms and Data Structures, WADS 1993 - Montreal, Canada
Durata: 11 ago 199313 ago 1993

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume709 LNCS
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???3rd Workshop on Algorithms and Data Structures, WADS 1993
Paese/TerritorioCanada
CittàMontreal
Periodo11/08/9313/08/93

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