Selection of genetic algorithm operators for urban drainage model parameter optimisation

نویسندگان

  • N. R. Siriwardene
  • B. J. C. Perera
چکیده

Recently, Genetic Algorithm (GA) has proven to be successful and efficient in identifying the optimal parameters for water resource modelling applications. However, in order to produce efficient and robust solutions, proper selection of GA operators is necessary for the application, before conducting the model parameter optimisation. General guidelines are available for standard GA optimisation applications. However, there is no specific guidance available for selecting GA operators for urban drainage model parameter optimisation. Therefore, the sensitivity of these operators are analysed through numerical experiments by repetitive simulation considering one GA operator at a time, by integrating GA and urban drainage modelling software. It was found that models with a small number of parameters (i.e. two or less) could be optimised with any GA operator set in urban drainage modelling. However, the proper selection of GA operators is vital to the convergence of the optimum model parameters, for large number of parameters (i.e. five or more) in urban drainage modelling.

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عنوان ژورنال:
  • Mathematical and Computer Modelling

دوره 44  شماره 

صفحات  -

تاریخ انتشار 2006