A hybrid method based on linear programming and variable neighborhood descent for scheduling production in open-pit mines
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Publication:887202
DOI10.1007/s10898-014-0185-zzbMath1326.90026OpenAlexW1965868850WikidataQ59433925 ScholiaQ59433925MaRDI QIDQ887202
Jacques A. Ferland, Amina Lamghari, Roussos Dimitrakopoulos
Publication date: 28 October 2015
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-014-0185-z
Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90)
Related Items (6)
A recursive time aggregation-disaggregation heuristic for the multidimensional and multiperiod precedence-constrained knapsack problem: an application to the open-pit mine block sequencing problem ⋮ Evolutionary approach for large-scale mine scheduling ⋮ Constructing branching trees of geostatistical simulations ⋮ A dynamic-material-value-based decomposition method for optimizing a mineral value chain with uncertainty ⋮ Hyper-heuristic approaches for strategic mine planning under uncertainty ⋮ A matheuristic for the 0--1 generalized quadratic multiple knapsack problem
Uses Software
Cites Work
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- A strengthened formulation and cutting planes for the open pit mine production scheduling problem
- Large-scale multi-period precedence constrained knapsack problem: A mining application
- The Pseudoflow Algorithm: A New Algorithm for the Maximum-Flow Problem
- Solving LP Relaxations of Large-Scale Precedence Constrained Problems
- The Problem Of Production Planning In Open Pit Mines
- A New Algorithm for the Open-Pit Mine Production Scheduling Problem
- Variable neighborhood search: Principles and applications
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