Volume 1 Number 2 (Aug. 2006)
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JSW 2006 Vol.1(2): 34-39
doi: 10.4304/jsw.1.2.34-39

Variable Neighbourhood Search for Job Shop Scheduling Problems

Mehmet Sevkli 1 , M. Emin Aydin 2

  • 1 Operation Research Department, Defense Sciences Institute, Turkish Military Academy 06654, Cankaya, Ankara
  • 2 University of Bedfordshire, Dept. of Computing and Information Systems Luton, UK

Abstract

Variable Neighbourhood Search (VNS) is one ofthe most recent metaheuristics used for problem solving inwhich a systematic change of neighbourhood within a localsearch is carried out. In this paper, an investigation onimplementing VNS for job shop scheduling problems iscarried out tackling benchmark suites collected from ORlibrary. The idea is to build the best local search and shakeoperations based on neighbourhood structure available. Theresults are presented and compared with the recentapproaches in the literature. It is concluded that the VNSalgorithm can generally find better results.

Keywords

  • variable neighbourhood search
  • job shops
jsw0102-04

How to Cite

Copied

Mehmet Sevkli and M. Emin Aydin, "Variable Neighbourhood Search for Job Shop Scheduling Problems," Journal of Software, vol. 1, no. 2, pp. 34-39, 2006. https://doi.org/ 10.4304/jsw.1.2.34-39

Copyright & License

Copyright © 2006 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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