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《Journal of Northwest A & F University(Natural Science Edition)》 2011-01
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Application of optimization algorithm for parameter calibration with the Xin'anjiang model

ZHANG Gang,XIE Jian-cang,LUO Jun-gang,WANG Ni(Key Laboratory of Northwest Water Resources and Environment Ecology of MOE,Xi'an University of Technology,Xi'an,Shaanxi 710048,China)  
【Objective】 The study was conducted to overcome the disadvantages of classical optimization algorithm used to solve Xinanjiang model parameter estimation problems,such as premature convergence,poor convergence and liable to fall in local optima.【Method】 Particle swarm optimization algorithm based on the niche,crossover and selection operators(NCSPSO),which carries out diversification treatment with history best position of particle in the process of optimization,was presented in this paper.The mathematical model and procedures for Xin'anjiang model parameter estimation by using NCSPSO were proposed in detail.The mathematical model was applied to specific basin.【Result】 Study results show that this method has higher efficiency and precision in parameter estimation,and flood forecast result can meet standard of demand.【Conclusion】 NCSPSO will be a new method for Xin'anjiang model parameter estimation.
【Fund】: 国家“863”计划项目(2006AA01A126);; 国家自然科学基金项目(50979088);; 陕西省国际合作重点项目(2008KW-32)
【CateGory Index】: P333.2
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