Selection of Genetic Algorithm Operators and Application for Calibration of Dissolved Oxygen Simulation in the River Water Quality Model
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概要
- 論文の詳細を見る
In the overall model development, model calibration is one of the most important tasks. This paper focuses on use of genetic algorithm (GA) in water quality model calibrations and definition of suitable operators which allow GA process run well and generates sets of optimized model parameters for river water quality model. An investigation on the importance of GA operators on model parameter optimization was considered in this study based on the data which collected from the Tatara River, Fukuoka, Japan. Many of numerical experiments on GA operators were conducted to check impacts of different GA operators on efficiency of GA process and goodness of parameter set which will be used for calibrations of water quality model. It was found that most of GA operators have sensitive effects on optimization process, in which the most important operators are rate of crossover and mutation.
- 九州大学の論文
著者
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MORI Ken
Department of Cardiology, Fukuoka University Hospital
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Hirai Yasumaru
Kyushu Univ. Fukuoka Jpn
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Hirai Yasumaru
Faculty Of Agriculture Kyushu University
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Hirai Yasumaru
Department Of Bioproduction Environmental Sciences Faculty Of Agriculture Kyushu University
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TUAN Nguyen
Department of Bioproduction Environmental Science, Faculty of Agriculture, Kyushu University
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Mori Ken
Department Of Bioproduction And Environmental Sciences Faculty Of Agriculture Kyushu University
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Tuan Nguyen
Department Of Bioproduction Environmental Sciences Faculty Of Agriculture Kyushu University
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Tuan Nguyen
Depart. Of Math. Analysis University Of Hanoi
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Hirai Yasumaru
Department Of Bioproduction And Environmental Sciences Faculty Of Agriculture Kyushu University
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Mori K
Department Of Bioproduction And Environmental Sciences Faculty Of Agriculture Kyushu University
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Mori Ken
Laboratory Of Bioproduction And Environment Information Science Division Of Bioproduction And Enviro
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Mori Ken
Faculty Of Agriculture Kyushu University
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