Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
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Comparison of Estimating Parameters by Univariate Search and Genetic Algorithm using Tank Model

단일변이 탐색법과 유전 알고리즘에 의한 탱크모형 매개변수 결정 비교 연구

  • 이성용 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 김태곤 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 이제명 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 이은정 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 강문성 (서울대학교 조경.지역시스템공학부, 서울대학교 농업생명과학연구원) ;
  • 박승우 (서울대학교 조경.지역시스템공학부, 서울대학교 농업생명과학연구원) ;
  • 이정재 (서울대학교 조경.지역시스템공학부, 서울대학교 농업생명과학연구원)
  • Published : 2009.05.31
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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.

Keywords

References

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Cited by

  1. Evaluation of the Tank Model Optimized Parameter for Watershed Modeling vol.56, pp.4, 2014, https://doi.org/10.5389/KSAE.2014.56.4.009