This article investigates the application of very large neighborhood search techniques for solving the capacitated vertex p-center problem. We characterize a local search neighborhood in terms of path and cyclic exchanges of customers among facilities, and exploit principles borrowed from network optimization theory to efficiently detect cost-decreasing solutions in such a neighborhood. We complement the multiexchange methodology with a relocation mechanism specifically designed to perform facility location adjustments. The validity of the proposed approach is supported by empirical investigation and performance comparisons with the commercial code CPLEX.

Large scale local search heuristics for the Capacitated Vertex p-Center Problem

SCUTELLA', MARIA GRAZIA
2004-01-01

Abstract

This article investigates the application of very large neighborhood search techniques for solving the capacitated vertex p-center problem. We characterize a local search neighborhood in terms of path and cyclic exchanges of customers among facilities, and exploit principles borrowed from network optimization theory to efficiently detect cost-decreasing solutions in such a neighborhood. We complement the multiexchange methodology with a relocation mechanism specifically designed to perform facility location adjustments. The validity of the proposed approach is supported by empirical investigation and performance comparisons with the commercial code CPLEX.
2004
S., Pallottino; M. P., Scaparra; Scutella', MARIA GRAZIA
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/91241
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 31
  • ???jsp.display-item.citation.isi??? 26
social impact