TY - JOUR
T1 - A heuristic approach to optimal design of an underground mine stope layout
AU - Sandanayake, Don Suneth Sameera
AU - Topal, Erkan
AU - Ali Asad, Mohammad Waqar
N1 - Publisher Copyright:
© 2015 Published by Elsevier B.V.
PY - 2015/5
Y1 - 2015/5
N2 - 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.
AB - 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.
KW - Heuristic algorithm
KW - Stope optimisation
KW - Underground mining
UR - http://www.scopus.com/inward/record.url?scp=84923608351&partnerID=8YFLogxK
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U2 - 10.1016/j.asoc.2015.01.060
DO - 10.1016/j.asoc.2015.01.060
M3 - Article
AN - SCOPUS:84923608351
SN - 1568-4946
VL - 30
SP - 595
EP - 603
JO - Applied Soft Computing Journal
JF - Applied Soft Computing Journal
ER -