단일변이 탐색법과 유전 알고리즘에 의한 탱크모형 매개변수 결정 비교 연구 = Comparison of Estimating Parameters by Univariate Search and Genetic Algorithm using Tank Model

다국어 초록 (Multilingual Abstract)

The objectives of this study are to apply univariate search and genetic algorithm to tank model, and compare the two optimization methods. Hydrologic data of Baran watershed during 1996 and 1997 were used for correction the tank model, and the data of 1999 to 2000 were used for validation. RMSE and R2 were used for the tank model's optimization. Genetic algorithm showed better result than univariate search. Genetic algorithm converges to general optima, and more population of potential solution made better result. Univariate search was easy to apply and simple but had a problem of convergence to local optima, and the problem was not solved although search the solution more minutely. Therefore, this study recommend genetic algorithm to optimize tank model rather than univariate search.

참고문헌 (Reference)

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