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    A heuristic approach to optimal design of an underground mine stope layout

    Access Status
    Fulltext not available
    Authors
    Sandanayake, D.
    Topal, Erkan
    Asad, Mohammad Waqar
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Sandanayake, 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.
    Source Title
    Applied Soft Computing
    DOI
    10.1016/j.asoc.2015.01.060
    ISSN
    1568-4946
    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/8770
    Collection
    • Curtin Research Publications
    Abstract

    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.

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