The complexity of election problems with group-separable preferences
作者:Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova
摘要
We analyze the complexity of several \({{\mathrm {NP}}}\)-hard election-related problems under the assumptions that the voters have group-separable preferences. We show that under this assumption our problems typically remain \({{\mathrm {NP}}}\)-hard, but we provide more efficient algorithms if additionally the clone decomposition tree is of moderate height. We also show a polynomial-time algorithm for sampling group-separable elections uniformly at random.
论文关键词:Elections, Complexity, Young, Chamberlin--Courant, Structured domains, Sampling
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论文官网地址:https://doi.org/10.1007/s10458-022-09549-7