A heuristic approach to optimal design of an underground mine stope layout
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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/8770 |
| _version_ | 1848745756232515584 |
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| author | Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar |
| author_facet | Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar |
| author_sort | Sandanayake, D. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:22:25Z |
| format | Journal Article |
| id | curtin-20.500.11937-8770 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:22:25Z |
| publishDate | 2015 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-87702017-09-13T14:35:05Z A heuristic approach to optimal design of an underground mine stope layout Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar Underground mining Heuristic algorithm Stope optimisation 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/8770 10.1016/j.asoc.2015.01.060 Elsevier BV restricted |
| spellingShingle | Underground mining Heuristic algorithm Stope optimisation Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar A heuristic approach to optimal design of an underground mine stope layout |
| title | A heuristic approach to optimal design of an underground mine stope layout |
| title_full | A heuristic approach to optimal design of an underground mine stope layout |
| title_fullStr | A heuristic approach to optimal design of an underground mine stope layout |
| title_full_unstemmed | A heuristic approach to optimal design of an underground mine stope layout |
| title_short | A heuristic approach to optimal design of an underground mine stope layout |
| title_sort | heuristic approach to optimal design of an underground mine stope layout |
| topic | Underground mining Heuristic algorithm Stope optimisation |
| url | http://hdl.handle.net/20.500.11937/8770 |