A review of operations research in mine planning
Applications of operations research to mine planning date back to the 1960s. Since that
time, optimization and simulation, in particular, have been applied to both surface and …
time, optimization and simulation, in particular, have been applied to both surface and …
A systematic review of artificial intelligence and data-driven approaches in strategic open-pit mine planning
R Noriega, Y Pourrahimian - Resources Policy, 2022 - Elsevier
The significant increase in data availability and high-computing power and innovations in
real-time monitoring systems enable the technological transformation of the mining industry …
real-time monitoring systems enable the technological transformation of the mining industry …
Detection of water-filled mining goaf using mining transient electromagnetic method
J Chang, B Su, R Malekian… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Water-filled mining goaves are extremely prone to water inrush accidents in coal mines, and
the transient electromagnetic method (TEM) is a good geophysical method for detecting …
the transient electromagnetic method (TEM) is a good geophysical method for detecting …
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
PC Pendharkar - Computers & Operations Research, 2005 - Elsevier
We propose a threshold-varying artificial neural network (TV-ANN) approach for solving the
binary classification problem. Using a set of simulated and real-world data set for bankruptcy …
binary classification problem. Using a set of simulated and real-world data set for bankruptcy …
Operations research in the natural resource industry
Operations research is becoming increasingly prevalent in the natural resource sector,
specifically in agriculture, fisheries, forestry and mining. While there are similar research …
specifically in agriculture, fisheries, forestry and mining. While there are similar research …
[HTML][HTML] Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems
This paper proposes an approach for the analysis and comparison of stochastic solvers
based on the statistical distribution of their variables. The observed variables of the …
based on the statistical distribution of their variables. The observed variables of the …
An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem
In this work, we tackle the problem of scheduling a set of jobs on a set of unrelated parallel
machines with minimising the total weighted completion times as performance criteria. The …
machines with minimising the total weighted completion times as performance criteria. The …
A mixed integer programming model for long term capacity expansion planning: A case study from The Hunter Valley Coal Chain
The Hunter Valley Coal Chain is the largest coal export operation in the world with a
throughput in excess of 100 million tonnes per annum (Mtpa). Coal is delivered to the …
throughput in excess of 100 million tonnes per annum (Mtpa). Coal is delivered to the …
Modeling the integrated mine-to-client supply chain: a survey
Mining is an important economic activity and a highly complex industry. As such, it demands
a complex supply chain to connect mines to clients, often involving railways, ports and long …
a complex supply chain to connect mines to clients, often involving railways, ports and long …
An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification
We study the performance of genetic algorithm (GA) based artificial neural network (ANN) for
different crossover operators. We use simulated and real life data to test the performance of …
different crossover operators. We use simulated and real life data to test the performance of …