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Policy Scenario Integer Programming — 离散策略备选方案的整数规划

Policy Scenario Integer Programming (PSIP) 针对若干不同的策略情景,分别求解一个整数规划模型——其中部分或全部决策变量必须取整数值——然后比较目标值、可行性及解的结构,以确定哪种策略环境能带来最佳的离散分配或指派结果。

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Policy Scenario Integer Programming
鲁棒整数规划随机整数规划

来源

  1. Birge, J. R., & Louveaux, F. (2011). Introduction to Stochastic Programming (2nd ed.). Springer. ISBN: 9781461402367
  2. Williams, H. P. (2013). Model Building in Mathematical Programming (5th ed.). Wiley. ISBN: 9781118443330

如何引用本页

ScholarGate. (2026, June 3). Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives. ScholarGate. https://scholargate.app/zh/simulation/policy-scenario-integer-programming

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ScholarGatePolicy Scenario Integer Programming (Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/policy-scenario-integer-programming · 数据集: https://doi.org/10.5281/zenodo.20539026