Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine

Deeper deposits become the future of mining as an increasing amount of shallow deposits are exploited. Consequently, the mining industry is being forced to extract minerals from deeper deposits using underground mining methods. This increased the demand for underground mine planning and optimization...

Full description

Bibliographic Details
Main Authors: Erdogan, G., Cigla, M., Topal, Erkan, Yavuz, M.
Format: Journal Article
Published: Taylor & Francis 2017
Online Access:http://hdl.handle.net/20.500.11937/54570
_version_ 1848759405032505344
author Erdogan, G.
Cigla, M.
Topal, Erkan
Yavuz, M.
author_facet Erdogan, G.
Cigla, M.
Topal, Erkan
Yavuz, M.
author_sort Erdogan, G.
building Curtin Institutional Repository
collection Online Access
description Deeper deposits become the future of mining as an increasing amount of shallow deposits are exploited. Consequently, the mining industry is being forced to extract minerals from deeper deposits using underground mining methods. This increased the demand for underground mine planning and optimization techniques. Stope boundary optimization is an important step of underground mine design and planning due to its direct impact on the economics of the project. It focuses on maximising the economic profit by selecting the best possible layout; by considering operational, geotechnical and physical constraints. There are a number of algorithms that have been developed for stope boundary optimization for the last two decades. In this paper, an existing underground mine is examined where sublevel stoping mining method is applied. Four algorithms are applied to this underground mine to investigate their applicability in underground mine planning and design process. The selected algorithms are Floating Stope, Maximum Value Neighbourhood, and two special applications which are developed by Sens and Topal and Sandanayake and Topal. The capabilities and limitations of these algorithms are evaluated and compared to each other. Then, they are compared with the stope optimization results from an existing underground mine.
first_indexed 2025-11-14T09:59:21Z
format Journal Article
id curtin-20.500.11937-54570
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:59:21Z
publishDate 2017
publisher Taylor & Francis
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-545702017-11-10T02:57:42Z Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine Erdogan, G. Cigla, M. Topal, Erkan Yavuz, M. Deeper deposits become the future of mining as an increasing amount of shallow deposits are exploited. Consequently, the mining industry is being forced to extract minerals from deeper deposits using underground mining methods. This increased the demand for underground mine planning and optimization techniques. Stope boundary optimization is an important step of underground mine design and planning due to its direct impact on the economics of the project. It focuses on maximising the economic profit by selecting the best possible layout; by considering operational, geotechnical and physical constraints. There are a number of algorithms that have been developed for stope boundary optimization for the last two decades. In this paper, an existing underground mine is examined where sublevel stoping mining method is applied. Four algorithms are applied to this underground mine to investigate their applicability in underground mine planning and design process. The selected algorithms are Floating Stope, Maximum Value Neighbourhood, and two special applications which are developed by Sens and Topal and Sandanayake and Topal. The capabilities and limitations of these algorithms are evaluated and compared to each other. Then, they are compared with the stope optimization results from an existing underground mine. 2017 Journal Article http://hdl.handle.net/20.500.11937/54570 10.1080/17480930.2017.1331083 Taylor & Francis restricted
spellingShingle Erdogan, G.
Cigla, M.
Topal, Erkan
Yavuz, M.
Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
title Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
title_full Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
title_fullStr Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
title_full_unstemmed Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
title_short Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
title_sort implementation and comparison of four stope boundary optimization algorithms in an existing underground mine
url http://hdl.handle.net/20.500.11937/54570