A hybrid metaheuristic approach using random forest and particle swarm optimization to study and eva...
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
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Author / Creator
Publisher
London: Springer London
Journal title
Language
English
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Publisher
London: Springer London
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Contents
Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an explosion operation. Excessive backbreak increases operational costs and also poses a threat to mine safety. In this regard, a new hybrid intelligence approach based on random forest (RF) and particle swarm optimization (PSO) is proposed for predicting backb...
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Full title
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
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TN_cdi_proquest_journals_2640562512
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2640562512
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-021-06776-z
