Fair allocation of indivisible goods with minimum inequality or minimum envy

Dries Cornilly, Giovanni Puccetti, Ludger Rüschendorf, Steven Vanduffel

Onderzoeksoutput: Articlepeer review

4 Citaten (Scopus)
117 Downloads (Pure)

Samenvatting

We provide a new mathematical framework for the classic problem of fair allocation of indivisible goods, showing that it can be formulated as the problem of finding an optimal column rearrangement of multiple matrices. Based on this formulation, we design two novel algorithms called MinCov and MinCovTarget to find optimal allocations under the newly introduced notion of minimum social inequality, and the popular notion of minimum envy. Numerical illustrations show an excellent performance of the newly developed algorithms also with respect to other allocation criteria, in particular for the maximum Nash welfare.

Originele taal-2English
Pagina's (van-tot)741-752
Aantal pagina's12
TijdschriftEuropean Journal of Operational Research
Volume297
Nummer van het tijdschrift2
DOI's
StatusPublished - 1 mrt 2022

Bibliografische nota

Funding Information:
We thank three anonymous reviewers for their very helpful suggestions on a previous version of this paper.

Publisher Copyright:
© 2021 Elsevier B.V.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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