단일변이 탐색법과 유전 알고리즘에 의한 탱크모형 매개변수 결정 비교 연구
Comparison of Estimating Parameters by Univariate Search and Genetic Algorithm using Tank Model
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초록
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.
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 (13)
- Choi, M. H., "Parameter Estimation for Nash Model and Diskin Model by Optimization Techniques", Korean Society of Hazard Mitigation, 1(3), pp.73~82 (2001)
- Jin G. G, "A Study on a Real-Coded Genetic Algorithm", Journal of control, automation and systems engineering, 4, pp.268~275 (2000)
- 김철, "지형자료를 이용한 TANK 모형의 매개변수 최적화", 대한토목학회 논문집B, 24(6b), pp.553~560 (2004), 대한토목학회
- Kim, J. S., "A Study on Parameter Optimization for Estimation of Probability Maximum Flood in Hoengseong Dam Basin", Journal of the Institute of Industrial Technology, 13, pp.51~58 (2005)
- 김태순, "다목적 유전자알고리즘을 이용한 Tank 모형 매개변수 최적화(Ⅰ): 방법론과 모형구축", 한국수자원학회 논문집, 40(9), pp.677~685 (2007), 한국수자원학회
- 이상호, "유역특성인자를 이용한 수정탱크모형 매개변수의 지역화", 대한토목학회 논문집B, 27(4B), pp.379~385 (2007), 대한토목학회
- M. Gen, "Genetic algorithms and engineering design" (1997), John-Wiley & Sons, Inc
- Moon, B. R., "Easy to learning Genetic Algorithm" (2008), Hanbit media
- 박햇님, "개념적 강우-침투 과정을 고려한 탱크 모형의 유도", 한국수자원학회 논문집, 39(1), pp.47~57 (2006), 한국수자원학회
- Sugawara, M., "A method for runoff analysis" (1972), Kyoritsu Shuppan Press
- "Java Genetic Algorithms Package"[URL]
- Korea Water Resource Corporation, "A Study about the optimization for planning water resource(III): Evaluating safety and Development of planning framework for water supply. Goyang, Gyeonggi", Korean Institute of Construction Technology, ~ (1999)
- Ministry of Land, "Survey of development methods about water management techniques. Goyang, Gyeonggi", Korean Institute of Construction Technology, ~ (1997)