Multiobjective automatic calibration of the storm water management model (SWMM) using non-dominated sorting genetic algorithm II (NSGA-II)

2014年1月1日 · The calibrator was previously developed by Shinma (2011) in C language, using the SWMM code for the objective functions evaluations. The method used for optimization is the NSGA II (Deb, 2002), which has been shown to be an efficient multiobjective search technique for various applications. The calibration settings are presented in Table 1.

2012年4月26日 · Multiobjective Automatic Calibration of the Storm Water Management Model (SWMM) Using Non-Dominated Sorting Genetic Algorithm II (NSGA-II) Authors : T. A. Shinma [email protected] . and L. F. R. Reis [email protected] .

2011年5月19日 · This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently. Expand

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2024年11月6日 · 株式会社shinma（シンマ）は、法人番号:8260001039582で岡山県笠岡市大井南14番地2に所在する法人として岡山地方法務局で法人登録され、2024年11月06日に法人番号が指定されました。

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