In this paper we present two exact branch-and-cut algorithms for the Split Delivery Vehicle Routing Problem (SDVRP) based on two relaxed formulations that provide lower bounds to the optimum. Procedures to obtain feasible solutions to the SDVRP from a feasible solution to the relaxed formulations are presented. Computational results are presented for 4 classes of benchmark instances. The new approach is able to prove the optimality of 17 new instances. In particular, the branch-and-cut algorithm based on the first relaxed formulation is able to solve most of the instances with up to 50 customers and two instances with 75 and 100 customers.

Branch-and-cut algorithms for the split delivery vehicle routing problem / C. Archetti, N. Bianchessi, M.G. Speranza. - In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. - ISSN 0377-2217. - 238:3(2014), pp. 685-698. [10.1016/j.ejor.2014.04.026]

Branch-and-cut algorithms for the split delivery vehicle routing problem

N. Bianchessi;
2014

Abstract

In this paper we present two exact branch-and-cut algorithms for the Split Delivery Vehicle Routing Problem (SDVRP) based on two relaxed formulations that provide lower bounds to the optimum. Procedures to obtain feasible solutions to the SDVRP from a feasible solution to the relaxed formulations are presented. Computational results are presented for 4 classes of benchmark instances. The new approach is able to prove the optimality of 17 new instances. In particular, the branch-and-cut algorithm based on the first relaxed formulation is able to solve most of the instances with up to 50 customers and two instances with 75 and 100 customers.
No
English
Split Delivery Vehicle Routing Problem; Branch-and-cut
Settore MAT/09 - Ricerca Operativa
Articolo
Esperti anonimi
Pubblicazione scientifica
2014
Elsevier
238
3
685
698
14
Pubblicato
Periodico con rilevanza internazionale
Aderisco
info:eu-repo/semantics/article
Branch-and-cut algorithms for the split delivery vehicle routing problem / C. Archetti, N. Bianchessi, M.G. Speranza. - In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. - ISSN 0377-2217. - 238:3(2014), pp. 685-698. [10.1016/j.ejor.2014.04.026]
none
Prodotti della ricerca::01 - Articolo su periodico
3
262
Article (author)
no
C. Archetti, N. Bianchessi, M.G. Speranza
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

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/2434/609907
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 77
  • ???jsp.display-item.citation.isi??? 67
social impact