mlsanityData to 7 Oct 2026

Parameterized Intractability for Multi-Winner Election under the Chamberlin-Courant Rule and the Monroe Rule

arXiv 2202.12006 ↗First posted 24 Feb 2022cs.MA cs.AI cs.GTcited by 1

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Abstract (arXiv)

Answering an open question by Betzler et al. [Betzler et al., JAIR'13], we resolve the parameterized complexity of the multi-winner determination problem under two famous representation voting rules: the Chamberlin-Courant (in short CC) rule [Chamberlin and Courant, APSR'83] and the Monroe rule [Monroe, APSR'95]. We show that under both rules, the problem is W[1]-hard with respect to the sum β of misrepresentations, thereby precluding the existence of any f(β) · |I|O(1) -time algorithm, where |I| denotes the size of the input instance.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 8 references that are in the map. First posted on arXiv 24 Feb 2022.

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2 of 8 references.

References · 2

  1. 2014On the Computation of Fully Proportional Representationcited by 14
  2. 2013Achieving Fully Proportional Representation: Approximability Resultscited by 7

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