Application of the honey-bees mating programming (HBMP) algorithm to sediment concentration modelling |
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| Authors: | Hassan Ebrahimi Ebrahim Jabbari Mostafa Ghasemi |
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| Institution: | 1. Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iranhassanebrahimi@civileng.iust.ac.ir;3. Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran;4. Department of Electrical Engineering, Science &5. Research Islamic Azad University, Tehran, Iran |
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| Abstract: | AbstractThe honey-bees mating programming (HBMP) algorithm is introduced as a novel tool for predicting suspended sediment concentration for the Mad River catchment near Arcata, USA. The paper also applies gene expression programming (GEP) as a comparison and shows that these two approaches can the produce transparent, nonlinear relationships between the independent and dependent variables. Some modifications have been made to the HBMP algorithm to improve its capability and efficiency. The results achieved from this method and GEP are compared with two different sediment rating curves based on regression techniques. The findings show that the results from both the HBMP and GEP methods are promising and outperform the results obtained from the sediment rating curves. Editor D. Koutsoyiannis; Associate editor L. See |
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| Keywords: | honey-bees mating programming gene expression programming rating curves suspended sediment concentration estimation |
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