Variable neighborhood search: basics and variants

Pierre Hansen (), Nenad Mladenović (), Raca Todosijević () and Saïd Hanafi ()
Additional contact information
Pierre Hansen: GERAD and HEC Montréal
Nenad Mladenović: LAMIH-UVHC, CNRS UMR 8201
Raca Todosijević: LAMIH-UVHC, CNRS UMR 8201
Saïd Hanafi: LAMIH-UVHC, CNRS UMR 8201

EURO Journal on Computational Optimization, 2017, vol. 5, issue 3, No 5, 423-454

Abstract: Abstract Variable neighborhood search (VNS) is a framework for building heuristics, based upon systematic changes of neighborhoods both in a descent phase, to find a local minimum, and in a perturbation phase to escape from the corresponding valley. In this paper, we present some of VNS basic schemes as well as several VNS variants deduced from these basic schemes. In addition, the paper includes parallel implementations and hybrids with other metaheuristics.

Keywords: Variable neighborhood search; Metaheuristic; Heuristic; 90C59; 68T20; 68W25 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)

Downloads: (external link)
http://link.springer.com/10.1007/s13675-016-0075-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:eurjco:v:5:y:2017:i:3:d:10.1007_s13675-016-0075-x

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/13675

DOI: 10.1007/s13675-016-0075-x

Access Statistics for this article

EURO Journal on Computational Optimization is currently edited by Martine C. Labbé

More articles in EURO Journal on Computational Optimization from Springer, EURO - The Association of European Operational Research Societies
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().