Parameter Calibration of the Nonlinear Muskingum Model using Harmony Search

  • 발행 : 2000.05.01

초록

A newly developed heuristic algorithm, Harmony Search, is applied to the parameter calibration problem of the nonlinear Muskingum model. The Harmony Search could, mimicking the improvisation of music player, find better parameter values for in the nonlinear Muskingum model than five other methods including another heuristic method, genetic algorithm, in the aspect of SSQ(the sum of the square of the deviations between the observed and routed outflows) as well as in the aspects of SAD(the sum of the absolute value of the deviations), DPO(deviations of peak of routed and actual flows) and DPOT(deviatios of peak time of routed and actual outflow). Harmony Search also has the advantage that it does not require the process of asuming the initial values of desing parameters. The sensitivity analysis of Harmony Memory Considering Rate showed that relatively large values of Harmony Memory Considering Rate makes the Harmony Search converge to a better solution.

키워드

참고문헌

  1. Artificial Intelligence Through Simulated Evolution Fogel L.J.;Owens A.J.;Walsj M.J.
  2. Dynamic Routing Seminar at Lower Mississippi River Forcast Center Theoretical Development of Implicit Dynamic Routing model Fread D.L.
  3. SIMULATION New Heuristic Optimization Alogorithm Harmony Search Greem Z.W.;Kim J.H.;Loganathan G.V.
  4. Journal of Hydrology v.36 Flood Touting by the Muskingum Method Gill M.A.
  5. Adaptation in Natural and Artificial System Holland J.H.
  6. Journal of Association of Computer Machines v.8 no.2 Direct Search Soultion of Numerical and Statistical Problems Hooke R.;Jeeves T.A.
  7. Science v.220 Optimization by Simulated Annealing Kirkpatrick S.;Gelatt C.D.;Vecchi M.P.
  8. Proceedings of the Conference of North Atlantic Division The Unit Hydrograph and Flood Routing McCarthy G.T.
  9. Journal of Hydraulic Engineering, ASCE v.123 no.2 Parameter Estimation of Nonlinear Muskingum Models using Genetic Algorithm Mohan S.
  10. Journal of Hydraulic Engineering, ASCE v.111 no.12 River Flood Routing by Nonlinear Muskingum Method Tung Y.K.
  11. Engineering Hydrology Wilson E.M.
  12. Journal of Water Resources Planning and Management, ASCE v.119 no.5 Parameter Estimation of Linear and Nonlinear Muskingum Models Yoon J.G.;G. Padmananhan