2012
DOI: 10.1016/j.ejor.2012.05.029
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A diversified Tabu search approach for the open-pit mine production scheduling problem with metal uncertainty

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Cited by 138 publications
(64 citation statements)
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“…With this efficient implementation of tabu search, more instances of the algorithm can be run simultaneously to thoroughly cover the solution space in less time than a purely sequential and single threaded approach. More algorithmic details can be found in Lamghari and Dimitrakopoulos (2012).…”
Section: Appendixmentioning
confidence: 99%
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“…With this efficient implementation of tabu search, more instances of the algorithm can be run simultaneously to thoroughly cover the solution space in less time than a purely sequential and single threaded approach. More algorithmic details can be found in Lamghari and Dimitrakopoulos (2012).…”
Section: Appendixmentioning
confidence: 99%
“…To be effective these algorithms must be specifically tailored to match the nature of the problem being solved. In the context of mine production scheduling, the tabu search algorithm is well suited, and a parallel implementation is utilized here to schedule the open pit portion of the deposit for each transition depth that is considered (Lamghari and Dimitrakopoulos 2012;Senecal 2015). For more details on tabu search, the reader is referred to the Appendix.…”
Section: Scenario-dependentmentioning
confidence: 99%
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“…The maximum upside potential / minimum downside risk method (Dimitrakopoulos, Martinez, and Ramazan, 2007) is predominant among the heuristic techniques. Genetic algorithms (Denby and Schofield, 1995), simulated annealing (Albor Consuegra and Dimitrakopoulos, 2009), Tabu search (Lamghari and Dimitrakopoulos, 2012), and ant colony algorithm (Gilani and Sattarvand, 2016) meta-heuristic approaches have also been reported to be successfully applied. The majority of research has been focused on incorporation of metal grade uncertainty.…”
mentioning
confidence: 99%
“…Integration of commodity price uncertainty in long-term open pit mine production planning and Dimitrakopoulos, 2012;Asad, Dimitrakopoulos, and van Eldert, 2014;Chatterjee et al, 2016) have been developed to solve stochastic problems. The maximum upside potential / minimum downside risk method (Dimitrakopoulos, Martinez, and Ramazan, 2007) is predominant among the heuristic techniques.…”
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confidence: 99%