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《Geographical Research》 2001-01
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Stochastic optimization on parameters of water quality model

ZHENG Hong xing, LI Li juan (Institute of Geographic Sciences and Natural Resources Reseach, CAS, Beijing 100101, China)  
This paper focuses on stochastic parameter optimization for water quality model with simulated annealing algorithm (SA) which is discussed in detail. For comparison, genetic algorithm (GA) and steepest decent algorithm (SD) are also discussed. Simultaneously, the typical S P water quality model is adopted in a case study. Result of the case study shows that the stochastic optimization methods (SA and GA) are more effective than the other methods such as the steepest decent method. What are testified include not only in the aspect of theory but also in the case study, both SA and GA are able to reach the global optimal results. However, concerning SA and GA, GA is weaker in local optimization and spends more time in parameter optimization.
【Fund】: 国家重点基础研究发展规划项目!(G1 9990 4 360 2 );; 中国科学院地理科学与资源研究所创新项目资助!(CXIOG- A0 0 - 0 7)
【CateGory Index】: P641
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