Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach-Reference-Cited by-同舟云学术

Mine-to-crusher policy: Planning of mine blasting patterns for environmentally friendly and optimum fragmentation using Monte Carlo simulation-based multi-objective grey wolf optimization approach

Published:2022-12 Issue: Volume:79 Page:103087
ISSN:0301-4207
Container-title:Resources Policy
language:en
Short-container-title:Resources Policy

Author:

Hosseini Shahab^ORCID,Mousavi Amin,Monjezi Masoud,Khandelwal Manoj^ORCID

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference123 articles.

1. Mine-to-mill Optimization of Aggregate Production;Adel,2006

2. Mine-to-Mill® optimization of aggregate production. 2005;Adel;SME Annu. Meet. Got Min. - Prepr.,2005

3. An improved estimation of size distribution from particle profile measurements;Al-Thyabat;Powder Technol.,2006

4. Evaluation of flyrock phenomenon due to blasting operation by support vector machine;Amini;Neural Comput. Appl.,2012

5. Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization;Armaghani;Arabian J. Geosci.,2014

Cited by 17 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. Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment of blast-induced rock size distribution;International Journal of Rock Mechanics and Mining Sciences;2024-06

2. Indirect Evaluation of the Influence of Rock Boulders in Blasting to the Geohazard: Unearthing Geologic Insights Fused with Tree Seed based LSTM Algorithm;Geohazard Mechanics;2024-06

3. Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations;Artificial Intelligence Review;2024-05-20

4. Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine learning techniques;Journal of Safety and Sustainability;2024-05

5. Green policy for managing blasting induced dust dispersion in open-pit mines using probability-based deep learning algorithm;Expert Systems with Applications;2024-04