Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2018, Issue 3, Pages 112–121
DOI: https://doi.org/10.14357/20718594180321
(Mi iipr221)
 

Multi-criteria analysis of decisons

Approximate solution scheme for inverse bin-packing problem subject to decision making preferences

E. M. Furems

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Abstract: The problem of packing maximal number of items in the given set of equal capacity bins while taking into account DM’s preferences is under consideration. The solution of this problem must satisfy to the following conditions: (1) the total weight of items in each been is not greater than its capacity, and (2) for each unpacked item there is none packed items less preferable for DM instead of which it may be packed without violation the capacity constraint. The approximate solution scheme for this problem based on modified First Fit Decreasing algorithm is proposed.
Keywords: inverse bin-packing problem, preferences, approximate solution scheme.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00092
English version:
Scientific and Technical Information Processing, 2019, Volume 46, Issue 6, Pages 374–380
DOI: https://doi.org/10.3103/S0147688219060029
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. M. Furems, “Approximate solution scheme for inverse bin-packing problem subject to decision making preferences”, Artificial Intelligence and Decision Making, 2018, no. 3, 112–121; Scientific and Technical Information Processing, 46:6 (2019), 374–380
Citation in format AMSBIB
\Bibitem{Fur18}
\by E.~M.~Furems
\paper Approximate solution scheme for inverse bin-packing problem subject to decision making preferences
\jour Artificial Intelligence and Decision Making
\yr 2018
\issue 3
\pages 112--121
\mathnet{http://mi.mathnet.ru/iipr221}
\crossref{https://doi.org/10.14357/20718594180321}
\elib{https://elibrary.ru/item.asp?id=36263261}
\transl
\jour Scientific and Technical Information Processing
\yr 2019
\vol 46
\issue 6
\pages 374--380
\crossref{https://doi.org/10.3103/S0147688219060029}
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