Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2016, Issue 3, Pages 31–43 (Mi iipr291)  
This article is cited in 2 scientific papers (total in 2 papers)

Decision support systems

Inverse bin packing problem with multiple qualitative criteria – formulation and survey of applicable approaches

E. M. Furems

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
Full-text PDF (492 kB) Citations (2)
Abstract: The new formulation of inverse bin packing problem is proposed. Its peculiarity consists in the requirement to take into account DM’s preferences on the set of objects, estimated upon multiple qualitative criteria. The aspects of this problem attributable to the Theory of Multi-Criteria Decision Making are discussed. The survey of existing methods for both classical and inverse bin packing (including multiple knapsack problem) is provided.
Keywords: inverse bin packing problem, preference relation, multicriteria sorting, approximate algorithms, branch-and-bound, genetic algorithms.
English version:
Scientific and Technical Information Processing, 2017, Volume 44, Issue 6, Pages 440–449
DOI: https://doi.org/10.3103/S0147688217060065
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. M. Furems, “Inverse bin packing problem with multiple qualitative criteria – formulation and survey of applicable approaches”, Artificial Intelligence and Decision Making, 2016, no. 3, 31–43; Scientific and Technical Information Processing, 44:6 (2017), 440–449
Citation in format AMSBIB
\Bibitem{Fur16}
\by E.~M.~Furems
\paper Inverse bin packing problem with multiple qualitative criteria -- formulation and survey of applicable approaches
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 3
\pages 31--43
\mathnet{http://mi.mathnet.ru/iipr291}
\elib{https://elibrary.ru/item.asp?id=27180833}
\transl
\jour Scientific and Technical Information Processing
\yr 2017
\vol 44
\issue 6
\pages 440--449
\crossref{https://doi.org/10.3103/S0147688217060065}
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  • https://www.mathnet.ru/eng/iipr291
  • https://www.mathnet.ru/eng/iipr/y2016/i3/p31
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:26
    Full-text PDF :11
    References:1
     
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