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...

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Main Author: Qureshi, Muhammad Asim
Format: Thesis
Published: Curtin University 2017
Online Access:http://hdl.handle.net/20.500.11937/68406
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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
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:37:22Z
publishDate 2017
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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