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25 years of particle swarm optimization: Flourishing voyage of two decades
From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …
gaining more popularity because of their effectiveness in solving problems of distinct …
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
A novel hybrid PSO–GWO algorithm for optimization problems
In this study, we propose a new hybrid algorithm fusing the exploitation ability of the particle
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
M Hasanipanah, M Noorian-Bidgoli… - Engineering with …, 2016 - Springer
The potential surface settlement, especially in urban areas, is one of the most hazardous
factors in subway and other infrastructure tunnel excavations. Therefore, accurate prediction …
factors in subway and other infrastructure tunnel excavations. Therefore, accurate prediction …
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
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 …
explosion operation. Excessive backbreak increases operational costs and also poses a …
Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting
Backbreak (BB) is one of the serious adverse blasting consequences in open-pit mines,
because it frequently reduces economic benefits and seriously affects the safety of mines …
because it frequently reduces economic benefits and seriously affects the safety of mines …
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting
M Hasanipanah, D Jahed Armaghani… - Neural Computing and …, 2017 - Springer
Drilling and blasting is a widely-used method for rock fragmentation in open-pit mines,
tunneling and civil projects. Flyrock, as one of the most dangerous effects induced by …
tunneling and civil projects. Flyrock, as one of the most dangerous effects induced by …
Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches
Deep underground excavations in mining and civil engineering are subjected to high in-situ
stresses which can cause rockburst. Rockburst is an instantaneous release of a large …
stresses which can cause rockburst. Rockburst is an instantaneous release of a large …
Prediction of blast-produced ground vibration using particle swarm optimization
M Hasanipanah, R Naderi, J Kashir, SA Noorani… - Engineering with …, 2017 - Springer
Blasting operation is an inseparable operation of the rock fragmentation process in the
surface mines and tunneling projects. Ground vibration is one of the most undesirable …
surface mines and tunneling projects. Ground vibration is one of the most undesirable …
[HTML][HTML] Predicting blast-induced ground vibration in open-pit mines using vibration sensors and support vector regression-based optimization algorithms
In this study, vibration sensors were used to measure blast-induced ground vibration (PPV).
Different evolutionary algorithms were assessed for predicting PPV, including the particle …
Different evolutionary algorithms were assessed for predicting PPV, including the particle …