Multiobjective vehicle routing problem with fixed delivery and optional collections

Luciana P. Assis, André L. Maravilha, Alessandro Vivas, Felipe Campelo, Jaime A. Ramírez

Research output: Contribution to journalArticlepeer-review

Abstract

We present an adaption on the formulation for the vehicle routing problem with fixed delivery and optional collections, in which the simultaneous minimization of route costs and of collection demands not fulfilled is considered. We also propose a multiobjective version of the iterated local search (MOILS). The performance of the MOILS is compared with the ε-constrained (Pε) ILS, the NSGA-II and the indicator-based multi-objective local search methods in the solution of 14 problem instances containing between 50 and 199 customers plus the depot. The results indicate that the MOILS outperformed the other approaches, obtaining significantly better average values for coverage, hypervolume and cardinality.

Original languageEnglish
Pages (from-to)1419-1431
Number of pages13
JournalOptimization Letters
Volume7
Issue number7
DOIs
Publication statusPublished - Oct 2013

Keywords

  • Iterated local search
  • Multiobjective optimization
  • Selective pickups
  • Vehicle routing problem

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