Particle swarm optimization approach for forecasting backbreak induced by bench blasting

@article{Ghasemi2016ParticleSO,
  title={Particle swarm optimization approach for forecasting backbreak induced by bench blasting},
  author={Ebrahim Ghasemi},
  journal={Neural Computing and Applications},
  year={2016},
  volume={28},
  pages={1855-1862}
}
One of the most challenging safety problems in open pit mines is backbreak during blasting operation, and its prediction is very important for a technically and economically successful mining operation. This paper presents application of particle swarm optimization (PSO) technique to estimate the backbreak induced by bench blasting, based on major controllable blasting parameters. Two forms of PSO models, linear and quadratic, are developed based on blasting data from Sungun copper mine, Iran… CONTINUE READING

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