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Volumn 217, Issue 7, 2010, Pages 3207-3215

Improved particle swarm algorithm for hydrological parameter optimization

Author keywords

Global optimization; Hydrological model; Multi swarms shuffling evolutionary; Parameter optimization; Particle swarm optimization

Indexed keywords

EFFICIENT GLOBAL OPTIMIZATION; EVOLUTION ALGORITHMS; HYDROLOGICAL MODELS; HYDROLOGICAL PARAMETERS; MASTER-SLAVE; MULTI-SWARMS; NUMERICAL SIMULATION; PARAMETER OPTIMIZATION; PARTICLE SWARM; PARTICLE SWARM ALGORITHM; SLAVE SWARMS; SOCIAL KNOWLEDGE; STOPPING CRITERIA; SUB-SWARMS;

EID: 78049248360     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2010.08.053     Document Type: Article
Times cited : (60)

References (30)
  • 1
    • 0001723141 scopus 로고
    • An automatic method for finding the greatest or least value of function
    • H.H. Rosenbrock An automatic method for finding the greatest or least value of function Comput. J. 3 1960 175 183
    • (1960) Comput. J. , vol.3 , pp. 175-183
    • Rosenbrock, H.H.1
  • 2
    • 0000238336 scopus 로고
    • Simplex method for function minimization
    • J.A. Nelder, and R.A. Meade Simplex method for function minimization Comput. J. 7 1965 308 313
    • (1965) Comput. J. , vol.7 , pp. 308-313
    • Nelder, J.A.1    Meade, R.A.2
  • 3
    • 0026266630 scopus 로고
    • The genetic algorithm and its application to calibrating conceptual rainfall-runoff models
    • Q.J. Wang The genetic algorithm and its application to calibrating conceptual rainfall-runoff models Water Resour. Res. 27 1991 2467 2471
    • (1991) Water Resour. Res. , vol.27 , pp. 2467-2471
    • Wang, Q.J.1
  • 4
    • 0029657538 scopus 로고    scopus 로고
    • Use of a genetic algorithm combined with a lacal search method for the automatic calibration of conceptual rainfall-runoff models
    • M. Franchina Use of a genetic algorithm combined with a lacal search method for the automatic calibration of conceptual rainfall-runoff models Hydrol. Sci. 41 1996 21 39
    • (1996) Hydrol. Sci. , vol.41 , pp. 21-39
    • Franchina, M.1
  • 5
    • 0030719780 scopus 로고    scopus 로고
    • Using genetic algorithms to optimize model parameters
    • Q.J. Wang Using genetic algorithms to optimize model parameters Environ. Model. Software 12 1997 27 34
    • (1997) Environ. Model. Software , vol.12 , pp. 27-34
    • Wang, Q.J.1
  • 6
    • 0036845179 scopus 로고    scopus 로고
    • Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration
    • C.T. Cheng, C.P. Ou, and K.W. Chau Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration J. Hydrol. 268 2002 72 86
    • (2002) J. Hydrol. , vol.268 , pp. 72-86
    • Cheng, C.T.1    Ou, C.P.2    Chau, K.W.3
  • 7
    • 0026445234 scopus 로고
    • Effective and efficient global optimization for conceptual rainfall-runoff models
    • Q.Y. Duan, S. Sorooshian, and V.J. Gupta Effective and efficient global optimization for conceptual rainfall-runoff models Water Resour. Res. 28 1992 1015 1031
    • (1992) Water Resour. Res. , vol.28 , pp. 1015-1031
    • Duan, Q.Y.1    Sorooshian, S.2    Gupta, V.J.3
  • 8
    • 0027558431 scopus 로고
    • Shuffled complex evolution approach for effective and efficient global minimization
    • Q.Y. Duan, V.K. Gupta, and S. Sorooshian Shuffled complex evolution approach for effective and efficient global minimization J. Opt. Theor. Appl. 76 1993 501 521
    • (1993) J. Opt. Theor. Appl. , vol.76 , pp. 501-521
    • Duan, Q.Y.1    Gupta, V.K.2    Sorooshian, S.3
  • 9
    • 0028449781 scopus 로고
    • Optimal use of the SCE-UA global optimization method for calibrating watershed models
    • Q.Y. Duan, S. Sorooshian, and V.J. Gupta Optimal use of the SCE-UA global optimization method for calibrating watershed models J. Hydrol. 158 1994 265 284
    • (1994) J. Hydrol. , vol.158 , pp. 265-284
    • Duan, Q.Y.1    Sorooshian, S.2    Gupta, V.J.3
  • 10
    • 0030162090 scopus 로고    scopus 로고
    • Automatic calibration of conceptual rainfall-runoff models: Sensitivity to calibration data
    • P.O. Yapo, H.V. Gupta, and S. Sorooshian Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data J. Hydrol. 181 1996 23 48
    • (1996) J. Hydrol. , vol.181 , pp. 23-48
    • Yapo, P.O.1    Gupta, H.V.2    Sorooshian, S.3
  • 11
    • 1542757127 scopus 로고    scopus 로고
    • A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters
    • J.A. Vrugt, H.V. Gupta, W. Bouten, and S. Sorooshian A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters Water Resour. Res. 39 2003 1201
    • (2003) Water Resour. Res. , vol.39 , pp. 1201
    • Vrugt, J.A.1    Gupta, H.V.2    Bouten, W.3    Sorooshian, S.4
  • 12
    • 1542442237 scopus 로고    scopus 로고
    • Effective and efficient algorithm for multiobjective optimization of hydrologic models
    • A. Vrugt, H.V. Gupta, L.A. Bastidas, and W. Bouten Effective and efficient algorithm for multiobjective optimization of hydrologic models Water Resour. Res. 39 2003 1214
    • (2003) Water Resour. Res. , vol.39 , pp. 1214
    • Vrugt, A.1    Gupta, H.V.2    Bastidas, L.A.3    Bouten, W.4
  • 15
    • 27644574990 scopus 로고    scopus 로고
    • Differential evolution and particle swarm optimization in partitional clustering
    • S. Paterlini, and T. Krink Differential evolution and particle swarm optimization in partitional clustering Comput. Stat. Data Anal. 50 1 2006 1220 1247
    • (2006) Comput. Stat. Data Anal. , vol.50 , Issue.1 , pp. 1220-1247
    • Paterlini, S.1    Krink, T.2
  • 16
    • 10944248833 scopus 로고    scopus 로고
    • Structural reliability assessment based on particle swarm optimization
    • C. Elegbede Structural reliability assessment based on particle swarm optimization Struct. Saf. 27 2 2005 171 186
    • (2005) Struct. Saf. , vol.27 , Issue.2 , pp. 171-186
    • Elegbede, C.1
  • 17
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimization problems through particle swarm optimization
    • K.E. Parsopoulos, and M.N. Vrahatis Recent approaches to global optimization problems through particle swarm optimization Nat. Comput. 1 2002 235 306
    • (2002) Nat. Comput. , vol.1 , pp. 235-306
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 18
    • 33645963421 scopus 로고    scopus 로고
    • Identification of visco-elastic models for rocks using genetic programming coupled with the modified particle swarm optimization algorithm
    • X.T. Feng, B.R. Chen, C. Yang, H. Zhou, and X. Ding Identification of visco-elastic models for rocks using genetic programming coupled with the modified particle swarm optimization algorithm Int. J. Rock Mech. Min. 43 2006 789 801
    • (2006) Int. J. Rock Mech. Min. , vol.43 , pp. 789-801
    • Feng, X.T.1    Chen, B.R.2    Yang, C.3    Zhou, H.4    Ding, X.5
  • 19
    • 0036589139 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm in size and shape optimization
    • P.C. Fourie, and A.A. Groenwold The particle swarm optimization algorithm in size and shape optimization Struct. Multidiscip. Optim. 23 4 2002 259 267
    • (2002) Struct. Multidiscip. Optim. , vol.23 , Issue.4 , pp. 259-267
    • Fourie, P.C.1    Groenwold, A.A.2
  • 20
    • 78049251082 scopus 로고    scopus 로고
    • Application of particle swarm optimization to parameter calibration of Xin'anjiang model
    • Y. Jiang, T.S. Hu, F.L. Gui, X.N. Wu, and Z.X. Zeng Application of particle swarm optimization to parameter calibration of Xin'anjiang model J. Wuhan Univ. (Engineering Science) 39 2006 14 17
    • (2006) J. Wuhan Univ. (Engineering Science) , vol.39 , pp. 14-17
    • Jiang, Y.1    Hu, T.S.2    Gui, F.L.3    Wu, X.N.4    Zeng, Z.X.5
  • 21
    • 33748060863 scopus 로고    scopus 로고
    • Multiobjective particle swarm optimization for parameter estimation in hydrology
    • M.K. Gill, Y.H. Kaheil, A. Khalil, M. McKee, and L. Bastidas Multiobjective particle swarm optimization for parameter estimation in hydrology Water Resour. Res. 42 2006 7417
    • (2006) Water Resour. Res. , vol.42 , pp. 7417
    • Gill, M.K.1    Kaheil, Y.H.2    Khalil, A.3    McKee, M.4    Bastidas, L.5
  • 24
    • 33645999632 scopus 로고    scopus 로고
    • Multi-population cooperative particle swarm optimization
    • B. Niu, Y.L. Zhu, and X.X. He Multi-population cooperative particle swarm optimization Lecture Notes Artif. Intell. 3630 2005 874 883
    • (2005) Lecture Notes Artif. Intell. , vol.3630 , pp. 874-883
    • Niu, B.1    Zhu, Y.L.2    He, X.X.3
  • 25
    • 34247594331 scopus 로고    scopus 로고
    • Particle swarm and ant colony algorithms hybridized for improved continuous optimization
    • P.S. Shelokar, P. Siarry, V.K. Jayaraman, and B.D. Kulkarni Particle swarm and ant colony algorithms hybridized for improved continuous optimization Appl. Math. Comput. 188 2007 129 142
    • (2007) Appl. Math. Comput. , vol.188 , pp. 129-142
    • Shelokar, P.S.1    Siarry, P.2    Jayaraman, V.K.3    Kulkarni, B.D.4
  • 26
    • 38649139923 scopus 로고    scopus 로고
    • Improved particle swarm algorithms for global optimization
    • M.M. Ali, and P. Kaelo Improved particle swarm algorithms for global optimization Appl. Math. Comput. 196 2008 578 593
    • (2008) Appl. Math. Comput. , vol.196 , pp. 578-593
    • Ali, M.M.1    Kaelo, P.2
  • 27
    • 35248862588 scopus 로고    scopus 로고
    • An improved particle swarm optimization algorithm
    • Y. Jiang, T.S. Hu, C.C. Huang, and X.N. Wu An improved particle swarm optimization algorithm Appl. Math. Comput. 193 2007 231 239
    • (2007) Appl. Math. Comput. , vol.193 , pp. 231-239
    • Jiang, Y.1    Hu, T.S.2    Huang, C.C.3    Wu, X.N.4
  • 28
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • I.C. Trelea The particle swarm optimization algorithm: convergence analysis and parameter selection Info. Process. Lett. 85 2003 317 325
    • (2003) Info. Process. Lett. , vol.85 , pp. 317-325
    • Trelea, I.C.1
  • 30
    • 0026895285 scopus 로고
    • The Xinanjiang model applied in China
    • R.J. Zhao The Xinanjiang model applied in China J. Hydrol. 135 1992 371 381
    • (1992) J. Hydrol. , vol.135 , pp. 371-381
    • Zhao, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.