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确定性整数规划 — 使用整数决策变量进行精确优化

确定性整数规划(DIP)是一种数学优化方法,用于在决策变量部分或全部必须取整数值的问题中找到最佳解决方案,前提是目标和约束数据完全已知(确定性)。它是整数规划的经典、非随机形式,自20世纪50年代末以来一直是运筹学和组合优化的基础。

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来源

  1. Gomory, R. E. (1958). Outline of an algorithm for integer solutions to linear programs. Bulletin of the American Mathematical Society, 64(5), 275-278. DOI: 10.1090/S0002-9904-1958-10224-4
  2. Wolsey, L. A. (1998). Integer Programming. Wiley-Interscience, New York. ISBN: 9780471283669

如何引用本页

ScholarGate. (2026, June 3). Deterministic Integer Programming. ScholarGate. https://scholargate.app/zh/simulation/deterministic-integer-programming

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被引用于

ScholarGateDeterministic Integer Programming (Deterministic Integer Programming). 于 2026-06-15 检索自 https://scholargate.app/zh/simulation/deterministic-integer-programming · 数据集: https://doi.org/10.5281/zenodo.20539026