A grey-encoded hybrid accelerating genetic algorithm for parameter optimisation of environmental models

International Journal of Environment and Pollution

Volumn 28, Issue 3-4, 2006, Pages 239-252

  Yang, Xiaohua ^a   Yang, Zhifeng ^a   Shen, Zhenyao ^a   Li, Jianqiang ^b  

^a BEIJING NORMAL UNIVERSITY   (China)

^b China Aeronautical Project   (China)

Author keywords

Accelerating convergence; Environmental models; Global optimisation; Grey encoded genetic algorithm; Nelder Mead simplex algorithm

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; MATHEMATICAL OPERATORS; OPTIMIZATION; PARAMETER ESTIMATION; RAIN; RUNOFF;

ACCELERATING CONVERGENCE; ENVIRONMENTAL MODELS; GREY-ENCODED GENETIC ALGORITHM; NELDER-MEAD SIMPLEX ALGORITHM;

GENETIC ALGORITHMS;

EFFICIENCY MEASUREMENT; ENVIRONMENTAL MODELING; GENETIC ALGORITHM; OPTIMIZATION; RAINFALL-RUNOFF MODELING; WATER QUALITY;

ARTICLE; ENVIRONMENTAL PARAMETERS; GENETIC ALGORITHM; HYBRID; MATHEMATICAL MODEL;

EID: 33845442297     PISSN: 09574352     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJEP.2006.011209     Document Type: Article

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