Universiti Teknologi Malaysia Institutional Repository

Genetic programming and gene expression programming for flyrock assessment due to mine blasting

Faradonbeh, R. S. and Armaghani, D. J. and Monjezi, M. and Mohamad, E. T. (2016) Genetic programming and gene expression programming for flyrock assessment due to mine blasting. International Journal of Rock Mechanics and Mining Sciences, 88 . pp. 254-264. ISSN 1365-1609

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

This research is aimed to develop new practical equations to predict flyrock distance based on genetic programming (GP) and genetic expression programming (GEP) techniques. For this purpose, 97 blasting operations in Delkan iron mine, Iran were investigated and the most effective parameters on flyrock were recorded. A database comprising of five inputs (i.e. burden, spacing, stemming length, hole depth, and powder factor) and one output (flyrock) was prepared to develop flyrock distance. Several GP and GEP models were proposed to predict flyrock considering the modeling procedures of them. To compare the performance prediction of the developed models, coefficient of determination (R2), mean absolute error (MAE), root mean squared error (RMSE) and variance account for (VAF) were computed and then, the best GP and GEP models were selected. According to the obtained results, it was found that the best flyrock predictive model is the GEP based-model. As an example, considering results of RMSE, values of 2.119 and 2.511 for training and testing datasets of GEP model, respectively show higher accuracy of this model in predicting flyrock, while, these values were obtained as 5.788 and 10.062 for GP model.

Item Type:Article
Uncontrolled Keywords:Blasting, Forecasting, Gene expression, Genetic algorithms, Mean square error, Coefficient of determination, Effective parameters, Flyrock, Gene expression programming, Genetic Expression Programming, Performance prediction, Root mean squared errors, Training and testing, Genetic programming, assessment method, blasting, error analysis, iron, mine, Iran
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:72064
Deposited By: Fazli Masari
Deposited On:23 Nov 2017 01:37
Last Modified:23 Nov 2017 01:37

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