Assessing the suitability of imperialist competitive algorithm for the predicting aims: an engineering case

This publication has 39 references indexed in Scilit:

• A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility
  Measurement, 2013
• A hybrid imperialist competitive algorithm for single-machine scheduling problem with linear earliness and quadratic tardiness penalties
  The International Journal of Advanced Manufacturing Technology, 2012
• Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines
  International Journal of Rock Mechanics and Mining Sciences, 2012
• Prediction of asphaltene precipitation using artificial neural network optimized by imperialist competitive algorithm
  Journal of Petroleum Exploration and Production Technology, 2011
• A new hybrid imperialist competitive algorithm on data clustering
  Sādhanā, 2011
• Evaluation of flyrock phenomenon due to blasting operation by support vector machine
  Neural Computing and Applications, 2011
• Sensitivity of total charge and maximum charge per delay on ground vibration
  Geomatics, Natural Hazards and Risk, 2010
• Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach
  Arabian Journal of Geosciences, 2010
• Intelligent systems for ground vibration measurement: a comparative study
  Engineering with Computers, 2010
• A hierarchical analysis for rock engineering using artificial neural networks
  Rock Mechanics and Rock Engineering, 1997