An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations
This study presents a new mathematical model for cut-off grade and production scheduling optimisation in open pit mining operations. The model maximises the net present value of the operation subject to the mining precedence, production capacity, and grade-blending constraints. A solution using exac...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/68406 |
| _version_ | 1848761796451631104 |
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| author | Qureshi, Muhammad Asim |
| author_facet | Qureshi, Muhammad Asim |
| author_sort | Qureshi, Muhammad Asim |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This study presents a new mathematical model for cut-off grade and production scheduling optimisation in open pit mining operations. The model maximises the net present value of the operation subject to the mining precedence, production capacity, and grade-blending constraints. A solution using exact method establishes the computational complexity of the model. Consequently, a hybrid-metaheuristic is developed to solve practical instances of the model. Performance evaluation reflects an acceptable gap between the exact and heuristic solutions. |
| first_indexed | 2025-11-14T10:37:22Z |
| format | Thesis |
| id | curtin-20.500.11937-68406 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:37:22Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-684062021-05-21T03:16:31Z An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations Qureshi, Muhammad Asim This study presents a new mathematical model for cut-off grade and production scheduling optimisation in open pit mining operations. The model maximises the net present value of the operation subject to the mining precedence, production capacity, and grade-blending constraints. A solution using exact method establishes the computational complexity of the model. Consequently, a hybrid-metaheuristic is developed to solve practical instances of the model. Performance evaluation reflects an acceptable gap between the exact and heuristic solutions. 2017 Thesis http://hdl.handle.net/20.500.11937/68406 Curtin University fulltext |
| spellingShingle | Qureshi, Muhammad Asim An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations |
| title | An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations |
| title_full | An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations |
| title_fullStr | An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations |
| title_full_unstemmed | An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations |
| title_short | An Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operations |
| title_sort | implementation of ant colony and genetic algorithm based hybrid-metaheuristic for cut-off grade optimization in open-pit mining operations |
| url | http://hdl.handle.net/20.500.11937/68406 |