政治区划问题的精确求解方法

S. Chopra, Hyunwoo Park, Sangho Shim
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引用次数: 1

摘要

Mehrotra, Johnson和Nemhauser(1998)[管理科学44,pp. 1100-1114]解决了政治区划的问题,并开发了一种基于优化的启发式方法,以找到将人口单位划分为人口相等的连续地区的良好区划计划。他们的案例研究发现,南卡罗来纳州的一项好计划的罚款成本为68美元。本文建立了一个确定精确最优解的强整数规划模型。我们的模型确定了最低罚则为64的南卡罗来纳州最优计划。受2019年起诉国会计划为不公正划分选区的诉讼的启发,我们检查了马里兰州的实际计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exact Solution Method for the Political Districting Problem
Mehrotra, Johnson, and Nemhauser (1998) [Management Science 44, pp. 1100–1114] addressed a problem for political districting and developed an optimization based heuristic to find good districting plans which partition the population units into contiguous districts with equal populations. Their case study found a good South Carolina plan at a penalty cost of 68. This paper develops a strong integer programming model identifying the exact optimal solution. Our model identifies the optimal South Carolina plan at the minimum penalty of 64. Motivated by the 2019 lawsuit challenging the congressional plan as gerrymandering, we inspect the actual Maryland plan.
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