Title: Design method for improved mixed genetic algorithm optimizing water quality model parameter
Application Number: 200610088335 Application Date: 2006.07.11
Publication Number: 1900956 Publication Date: 2007.01.24
Approval Pub. Date: Granted Pub. Date:
International Classifi-cation: G06N3/12
Applicant(s) Name: Nanjing Univ. Address:
Inventor(s) Name: Qian Xin;Zhou Bin;Zhang Yuchao;Yin Daqiang
Attorney & Agent: wang xudong
Abstract:
    The present invention relates to design method of optimizing water quality model parameters in improved mixed genetic algorithm, and belongs to the field of water quality model parameter calibration optimizing method. The design method includes the following steps: preparing data for water quality model parameter calibration optimizing design; establishing and optimizing improved mixed genetic algorithm; improving adaptability degree function; mixing with simplex algorithm serially; running the algorithm program, inspecting the simulating result of different algorithms and completing the optimization after the error reaching the specified standard. The present invention can calibrate model parameters fast accurately, and raise the application efficiency of comprehensive water quality model in various water body researches.
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