25 years of particle swarm optimization: Flourishing voyage of two decades

J Nayak, H Swapnarekha, B Naik, G Dhiman… - … Methods in Engineering, 2023 - Springer
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 …

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer
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 …

A novel hybrid PSO–GWO algorithm for optimization problems

FA Şenel, F Gökçe, AS Yüksel, T Yiğit - Engineering with Computers, 2019 - Springer
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 …

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 …

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting

Y Dai, M Khandelwal, Y Qiu, J Zhou, M Monjezi… - Neural Computing and …, 2022 - Springer
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 …

Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting

C Li, J Zhou, M Khandelwal, X Zhang… - Natural Resources …, 2022 - Springer
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 …

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 …

Rockburst assessment in deep geotechnical conditions using true-triaxial tests and data-driven approaches

RS Faradonbeh, A Taheri, LR e Sousa… - International Journal of …, 2020 - Elsevier
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 …

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 …

[HTML][HTML] Predicting blast-induced ground vibration in open-pit mines using vibration sensors and support vector regression-based optimization algorithms

H Nguyen, Y Choi, XN Bui, T Nguyen-Thoi - Sensors, 2019 - mdpi.com
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 …