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dc.contributor.authorSandanayake, D.
dc.contributor.authorTopal, Erkan
dc.contributor.authorAsad, Mohammad Waqar
dc.identifier.citationSandanayake, D. and Topal, E. and Asad, M.W. 2015. A heuristic approach to optimal design of an underground mine stope layout. Applied Soft Computing. 30: pp. 595-603.

The optimal layout or geometry of the production area (stope) in an underground mining operation maximises the undiscounted value subject to the inherent physical, geotechnical, and geological constraints. Numerous approaches to develop possible stope layouts have been introduced. However, owing to the size and complexity of the problem, these approaches do not guarantee an optimal solution in three-dimensional space. This article proposes a new heuristic algorithm that incorporates stope size variation for solving this complex and challenging optimisation problem. A case study demonstrates the implementation of the algorithm on an actual ore body model. In a validation study, the proposed algorithm generates 10.7% more profitable solution than the commercially available Maximum Value Neighbourhood (MVN) algorithm.

dc.publisherElsevier BV
dc.subjectUnderground mining
dc.subjectHeuristic algorithm
dc.subjectStope optimisation
dc.titleA heuristic approach to optimal design of an underground mine stope layout
dc.typeJournal Article
dcterms.source.titleApplied Soft Computing
curtin.departmentWestern Australian School of Mines
curtin.accessStatusFulltext not available

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