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NAOSITE : Nagasaki University's Academic Output SITE > Faculty of Engineering > Bulletin > Reports of the Faculty of Engineering, Nagasaki University > Volume 34, No. 63 >

遺伝的アルゴリズムによる水質モデルのパラメータ推定に関する研究


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Title: 遺伝的アルゴリズムによる水質モデルのパラメータ推定に関する研究
Other Titles: Estimation of Model Parameter of Water Quality Simulation Model using Genetic Algorithm
Authors: 西田, 渉 / 松下, 紘資 / 野口, 正人
Authors (alternative): Nishida, Wataru / Matsushita, Hiroshi / Noguchi, Masato / Solomatine, Dimitri P.
Issue Date: Jul-2004
Citation: 長崎大学工学部研究報告 Vol.34(63) p. 77-82, 2004
Abstract: Genetic algorithm is one of the well-known methods to solve global optimization problems and its use is becoming widespread in many branches of engineering. In this study, this optimization method was made use in order to calibrate the water quality simulation model, and its applicability to this kind of problem was discussed. The results obtained from calibrating the water quality model show that the error defined by calculated and observed results gradually decreases as the proceed of alternation of generation, and genetic algorithm succeeded to find the parameter set which makes the error much smaller than by other optimization method. Although several implementations for the practical use of this algorithm, it might be concluded that genetic algorithm has some extent of applicability to the automatic calibration of numerical simulation model.
URI: http://hdl.handle.net/10069/15086
ISSN: 02860902
Type: Departmental Bulletin Paper
Appears in Collections:Volume 34, No. 63

Citable URI : http://hdl.handle.net/10069/15086

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