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On Approximating Optimal Weighted Lobbying, and Frequency of Correctness versus Average-Case Polynomial Time

机译:关于近似最优加权游说和正确频率的研究   与平均情况多项式时间

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摘要

We investigate issues related to two hard problems related to voting, theoptimal weighted lobbying problem and the winner problem for Dodgson elections.Regarding the former, Christian et al. [CFRS06] showed that optimal lobbying isintractable in the sense of parameterized complexity. We provide an efficientgreedy algorithm that achieves a logarithmic approximation ratio for thisproblem and even for a more general variant--optimal weighted lobbying. Weprove that essentially no better approximation ratio than ours can be provenfor this greedy algorithm. The problem of determining Dodgson winners is known to be complete forparallel access to NP [HHR97]. Homan and Hemaspaandra [HH06] proposed anefficient greedy heuristic for finding Dodgson winners with a guaranteedfrequency of success, and their heuristic is a ``frequently self-knowinglycorrect algorithm.'' We prove that every distributional problem solvable inpolynomial time on the average with respect to the uniform distribution has afrequently self-knowingly correct polynomial-time algorithm. Furthermore, westudy some features of probability weight of correctness with respect toProcaccia and Rosenschein's junta distributions [PR07].
机译:我们调查与投票相关的两个难题:最优加权游说问题和道奇森选举的获胜者问题。有关前者,克里斯蒂安等人。 [CFRS06]表明,从参数化复杂性的角度来看,最佳的游说是难以实现的。我们提供了一种高效的贪心算法,可以针对该问题甚至更一般的变体(最优加权游说)实现对数近似比。我们证明,对于这种贪婪算法,基本上没有比我们更好的近似率。对于并行访问NP [HHR97],确定Dodgson获奖者的问题众所周知。 Homan和Hemaspaandra [HH06]提出了一种有效的贪婪启发式算法,用于寻找具有一定成功频率的道奇森获胜者,并且他们的启发式算法是“经常自我知道正确的算法”。我们证明,相对于均匀分布通常具有自知正确的多项式时间算法。此外,对Procaccia和Rosenschein的军政府分布[PR07]的正确性的概率权重的某些特征进行了研究。

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