title: [Parameter optimization of water quality model: implementation of genetic algorithm and its control parameters analysis].
abstract: Parameter identification plays an important role in environmental model application. As a commonly used global optimization method, genetic algorithm (GA) has very simple structure, the key related to whether a practical issue can be solved using GA or not is algorithm design and selection of the control parameters. Based on the feature of parameter optimization of water quality model, orthogonal test method was proposed for reviewing effects of different control parameters of GA on the performance of water quality parameter optimization. The results indicate that orthogonal method could identify key factors, and also provide possible optimized experiment plan. It is concluded that GA can be applied to the research on parameter identification of complicated water quality model.
authors.affiliation: Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China. wangjp@tsinghua.org.cn
authors.forename: Jian-ping
authors.initials: JP
authors.lastname: Wang
authors.forename: Sheng-tong
authors.initials: ST
authors.lastname: Cheng
authors.forename: Hai-feng
authors.initials: HF
authors.lastname: Jia
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D011786:Quality Control; D014881:Water Supply / Q000032:analysis*