Order matters – A Variable Neighborhood Search for the Swap-Body Vehicle Routing Problem

Sandra Huber and Martin Josef Geiger

European Journal of Operational Research, 2017, vol. 263, issue 2, 419-445

Abstract: This article presents investigations on the performance of standard and problem specific neighborhood operators for the Swap-Body Vehicle Routing Problem. More specifically, our work analyzes the contribution of each operator to the solution quality. In addition, an experimental setting is defined that can be utilized to identify promising sequences in a Variable Neighborhood Search. The experiments verify that the sequence matters since two best known solutions can be equaled and 16 out of 18 solutions can be improved, with a maximal improvement of 2.25% and an average improvement of 0.70%.

Keywords: Vehicle Routing Problem; VeRoLog Solver Challenge; Variable Neighborhood Search; Order of neighborhood operators; Parallel heuristic (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717303934
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:263:y:2017:i:2:p:419-445

DOI: 10.1016/j.ejor.2017.04.046

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().