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Algoritmus Lerchse a Grossmanna×Pseudoflow Algorithm×
OborHornictvíHornictví
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19651992
TvůrceHelmut Lerchs and Israel GrossmannDorit S. Hochbaum
TypGraph-theoretic algorithm for pit limit optimizationEfficient algorithm for maximum closure problem
Původní zdrojLerchs, 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 ↗
Další názvyLerchs-Grossmann Method, LG AlgorithmPseudoflow Algorithm, Hochbaum Algorithm
Příbuzné43
ShrnutíThe 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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ScholarGatePorovnat metody: Lerchs-Grossmann Algorithm · Pseudoflow. Získáno 2026-06-15 z https://scholargate.app/cs/compare