%0 Journal Article
%T Stochastic optimization on parameters of water quality model<br>水质模型参数的非数值随机优化
%A ZHENG Hong xing
%A LI Li juan
%A <br>郑红星
%A 李丽娟
%J 地理研究
%D 2001
%I 
%X 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.
%K stochastic optimization
%K simulated annealing algorithm
%K parameters
%K water quality model<br>水质模型参数
%K 非数值算法
%K 随机优化
%K 模拟退火算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=869B153A4C6B5B85&jid=C0C75E88BA2EE501C8298896F64A711F&aid=DF024F0143E2A63F&yid=14E7EF987E4155E6&vid=A04140E723CB732E&iid=CA4FD0336C81A37A&sid=C3BF5C58156BEDF0&eid=331211A5F5616413&journal_id=1000-0585&journal_name=地理研究&referenced_num=5&reference_num=14