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Maximization of the Choquet integral over a convex set and its application to resource allocation problems

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  • Mikhail Timonin

Abstract

We study the problem of the Choquet integral maximization over a convex set. The problem is shown to be generally non-convex (and non-differentiable). We analyze the problem structure, and propose local and global search algorithms. The special case when the problem becomes concave is analyzed separately. For the non-convex case we propose a decomposition scheme which allows to reduce a non-convex problem to several concave ones. Decomposition is performed by finding the coarsest partition of a capacity into disjunction of totally monotone measures. We discuss its effectiveness and prove that the scheme is optimal for 2-additive capacities. An application of the developed methods to resource allocation problems concludes the article. Copyright Springer Science+Business Media, LLC 2012

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  • Mikhail Timonin, 2012. "Maximization of the Choquet integral over a convex set and its application to resource allocation problems," Annals of Operations Research, Springer, vol. 196(1), pages 543-579, July.
    • Handle: RePEc:spr:annopr:v:196:y:2012:i:1:p:543-579:10.1007/s10479-012-1147-9
    DOI: 10.1007/s10479-012-1147-9
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    Cited by:

    1. Beliakov, Gleb, 2022. "Knapsack problems with dependencies through non-additive measures and Choquet integral," European Journal of Operational Research, Elsevier, vol. 301(1), pages 277-286.

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