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Diskretnyi Analiz i Issledovanie Operatsii, 2008, Volume 15, Issue 3, Pages 43–57 (Mi da533)  

This article is cited in 1 scientific paper (total in 1 paper)

Variable neighborhood search for two-stage facility location problem

T. V. Levanova, A. S. Fedorenko

Omsk Branch of Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Science
Full-text PDF (286 kB) Citations (1)
References:
Abstract: In this paper, a heuristic algorithm of variable neighborhood search (VNS) is developed for solving two-stage facility location problem. In the VNS framework, a suitable set of neighborhoods and the order of their exploration are proposed. Besides the well-known neighborhoods, a new type of neighborhood is used. Computational experiments on benchmark instances show that in most testing instances the method gives better solutions than the simulated annealing algorithm. Tabl. 5, illustr. 3, bibl. 19.
Keywords: discrete optimization, two-stage facility location problem, variable neighborhood search.
Received: 26.02.2008
Revised: 23.04.2008
Bibliographic databases:
UDC: 519.87
Language: Russian
Citation: T. V. Levanova, A. S. Fedorenko, “Variable neighborhood search for two-stage facility location problem”, Diskretn. Anal. Issled. Oper., 15:3 (2008), 43–57
Citation in format AMSBIB
\Bibitem{LevFed08}
\by T.~V.~Levanova, A.~S.~Fedorenko
\paper Variable neighborhood search for two-stage facility location problem
\jour Diskretn. Anal. Issled. Oper.
\yr 2008
\vol 15
\issue 3
\pages 43--57
\mathnet{http://mi.mathnet.ru/da533}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2542324}
\zmath{https://zbmath.org/?q=an:1249.90142}
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  • https://www.mathnet.ru/eng/da/v15/i3/p43
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Дискретный анализ и исследование операций
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    Abstract page:840
    Full-text PDF :386
    References:65
    First page:5
     
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