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  • 标题:Calibration of a crop simulation model using an evolutionary algorithm with self-adaptation
  • 本地全文:下载
  • 作者:Pierre Stratonovitch ; Pierre Stratonovitch ; Mikhail A. Semenov
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2010
  • 卷号:2
  • 期号:6
  • 页码:7749-7750
  • DOI:10.1016/j.sbspro.2010.05.210
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractCalibration of cultivar parameters of a crop simulation model can represent a considerable challenge when observed data for a single cultivar is available for multiple environments. Calibration can be considered as a search of the optimal set of parameters in a multidimensional parameter space. An evolutionary algorithm with self-adaptation has been developed and applied to calibrate parameters of the Sirius crop simulation model for several experimental datasets.
  • 关键词:Sirius;model calibration and validation;evolutionary optimization
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