Selection of Genetic Algorithm Operators and Application for Calibration of Dissolved Oxygen Simulation in the River Water Quality Model - Collections

＜departmental bulletin paper＞
Selection of Genetic Algorithm Operators and Application for Calibration of Dissolved Oxygen Simulation in the River Water Quality Model

Creator	Creator Name Tuan, Nguyen Van Affiliation Affiliation Name Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University
	Author PID K001562 Creator Name Mori, Ken 森, 健 Affiliation Affiliation Name Faculty of Agriculture, Kyushu University 九州大学大学院農学研究院
	Author PID K002907 Creator Name Hirai, Yasumaru 平井, 康丸 Affiliation Affiliation Name Faculty of Agriculture, Kyushu University 九州大学大学院農学研究院
Language	English
Publisher	Faculty of Agriculture, Kyushu University
Publisher	九州大学大学院農学研究院
Date	2007-10-29
Source Title	Journal of the Faculty of Agriculture, Kyushu University
Vol	52
Issue	2
First Page	439
Last Page	444
Publication Type	Version of Record
Access Rights	open access
Crossref DOI	https://doi.org/10.5109/9334
Related DOI	Journal of the Faculty of Agriculture, Kyushu University \|\| 52(2) \|\| p439-444
	九州大学大学院農学研究院紀要 \|\| 52(2) \|\| p439-444
	http://www.agr.kyushu-u.ac.jp/index.html
Related URI	Journal of the Faculty of Agriculture, Kyushu University \|\| 52(2) \|\| p439-444
	九州大学大学院農学研究院紀要 \|\| 52(2) \|\| p439-444
	http://www.agr.kyushu-u.ac.jp/index.html
Relation	Journal of the Faculty of Agriculture, Kyushu University \|\| 52(2) \|\| p439-444
	九州大学大学院農学研究院紀要 \|\| 52(2) \|\| p439-444
	http://www.agr.kyushu-u.ac.jp/index.html

File	FileType	Size	Views	Description
p439	pdf	23.2 MB	514

PISSN	0023-6152
NCID	AA00697606
Record ID	9334
Peer-Reviewed	Unrefereed
Subject Terms	Optimization
	Water quality
	Model Calibration
	Geo-Environment Science
	地水環境学
ISSN	0023-6152
NCID	AA00697606
Notes	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.
Created Date	2009.04.22
Modified Date	2022.11.11