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伪流算法×Lerchs-Grossmann 算法×
领域采矿工程采矿工程
方法族Process / pipelineProcess / pipeline
起源年份19921965
提出者Dorit S. HochbaumHelmut Lerchs and Israel Grossmann
类型Efficient algorithm for maximum closure problemGraph-theoretic algorithm for pit limit optimization
开创性文献Hochbaum, D. S. (1992). A new-old algorithm for minimum-cut and maximum-flow problems. Journal of the ACM, 1(1), 76-109. link ↗Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗
别名Pseudoflow Algorithm, Hochbaum AlgorithmLerchs-Grossmann Method, LG Algorithm
相关34
摘要The Pseudoflow Algorithm, developed by Dorit Hochbaum in 1992, is a polynomial-time algorithm for computing maximum weighted closures in directed acyclic graphs. In mining, it solves the ultimate pit limit problem more efficiently than earlier methods. By maintaining feasible pseudoflows and iteratively eliminating negative-cost nodes, it achieves near-optimal practical performance even on industrial-scale block models.The Lerchs-Grossmann Algorithm is a graph-theoretic method for determining the ultimate pit limit in open-pit mining operations. Introduced by Helmut Lerchs and Israel Grossmann in 1965, it maximizes the net present value of extracted ore while respecting slope stability constraints. This algorithm forms the theoretical foundation for most modern pit optimization software.
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  2. 2 来源
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  1. v1
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  3. PUBLISHED

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ScholarGate方法对比: Pseudoflow · Lerchs-Grossmann Algorithm. 于 2026-06-15 检索自 https://scholargate.app/zh/compare