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Lerchs-Grossmann 알고리즘×슈도플로우 알고리즘×
분야광산공학광산공학
계열Process / pipelineProcess / pipeline
기원 연도19651992
창시자Helmut Lerchs and Israel GrossmannDorit S. Hochbaum
유형Graph-theoretic algorithm for pit limit optimizationEfficient algorithm for maximum closure problem
원전Lerchs, 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 ↗
별칭Lerchs-Grossmann Method, LG AlgorithmPseudoflow Algorithm, Hochbaum Algorithm
관련43
요약The 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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