A critical review of bench aggregation and mining cut clustering techniques based on optimization and artificial intelligence to enhance the open-pit mine planning-Reference-Cited by-同舟云学术

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A critical review of bench aggregation and mining cut clustering techniques based on optimization and artificial intelligence to enhance the open-pit mine planning

Published:2024-07 Issue: Volume:133 Page:108334
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Mariz Jorge Luiz Valença^ORCID,Badiozamani Mohammad Mahdi,Peroni Rodrigo de Lemos,Silva Ricardo Martins de Abreu

Funder

University of Alberta

CAPES

Publisher

Elsevier BV

Reference83 articles.

1. Stochastic non-linear optimization of equipment productivity in multiseam formations;Adadzi;J. Powder Metall. Min.,2013

2. Data Clustering: Algorithms and Applications;Aggarwal,2014

3. Long range planning in open-pit mining;Albach;Manag. Sci.,1967

4. Open pit optimisation using discounted economic block values;Askari-Nasab;Min. Technol.,2009

5. Large-scale open pit production scheduling using Mixed Integer Linear Programming;Askari-Nasab;Int. J. Min. Miner. Eng.,2010

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning for open-pit mining: a systematic review;International Journal of Mining, Reclamation and Environment;2024-06-20

2. A multi-stage constraint programming approach to solve clustering problems in open-pit mine planning;Engineering Optimization;2024-05-21

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