Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm
Brittleness index (BI) is a significant rock parameter when dealing with projects performed in rocks. The main goal of this research work is to propose the novel practical models to predict the BI through particle swarm optimization (PSO) and imperialism competitive algorithm (ICA). For this aim, tw...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer London
2018
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