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Lerchs-Grossmann アルゴリズム×擬似フローアルゴリズム×
分野鉱山工学鉱山工学
系統Process / pipelineProcess / pipeline
提唱年19651992
提唱者Helmut Lerchs and Israel GrossmannDorit S. Hochbaum
種類Graph-theoretic algorithm for pit limit optimizationEfficient algorithm for maximum closure problem
原典Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗Hochbaum, D. S. (1992). A new-old algorithm for minimum-cut and maximum-flow problems. Journal of the ACM, 1(1), 76-109. link ↗
別名Lerchs-Grossmann Method, LG AlgorithmPseudoflow Algorithm, Hochbaum Algorithm
関連43
概要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.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.
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ScholarGate手法を比較: Lerchs-Grossmann Algorithm · Pseudoflow. 2026-06-15に以下より取得 https://scholargate.app/ja/compare