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Process / pipelineGraph-based Optimization

Lerchs-Grossmann Algoritmen

Lerchs-Grossmann Algoritmen er en grafteoretisk metode til at bestemme den ultimative grube-grænse i åbne mineoperationer. Introduceret af Helmut Lerchs og Israel Grossmann i 1965, maksimerer den nutidsværdien af udvundet malm, samtidig med at den respekterer begrænsninger for skråningsstabilitet. Denne algoritme danner det teoretiske grundlag for de fleste moderne software til grubeoptimering.

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Kilder

  1. Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link
  2. Johnson, T. B. (2014). Optimum pit limits - definition and computational procedures. Journal of the Australasian Institute of Mining and Metallurgy, 249, 21-28. link

Sådan citerer du denne side

ScholarGate. (2026, June 3). Lerchs-Grossmann Algorithm for Open Pit Mine Design. ScholarGate. https://scholargate.app/da/mining-engineering/lerchs-grossmann-algorithm

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ScholarGateLerchs-Grossmann Algorithm (Lerchs-Grossmann Algorithm for Open Pit Mine Design). Hentet 2026-06-15 fra https://scholargate.app/da/mining-engineering/lerchs-grossmann-algorithm · Datasæt: https://doi.org/10.5281/zenodo.20539026