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遗传和模拟退火算法在水质模型参数确定中的应用简介
引用本文:贺松年,郭振远. 遗传和模拟退火算法在水质模型参数确定中的应用简介[J]. 四川环境, 2010, 29(4): 134-138
作者姓名:贺松年  郭振远
作者单位:机械工业第四设计研究院,河南,洛阳,471039
摘    要:水质模型参数的确定是构建水质模型的基础。相对于传统优化方法,现代优化算法的优势日趋明显。本文在基于现代优化算法的水质模型参数确定研究背景下,介绍了具有代表性的遗传算法和模拟退火算法,并对该两种算法的应用现状进行综述,旨在推进该领域的进一步探索。

关 键 词:GA法  SA法  水质  模型  参数优化

Application of Genetic Algorithms and Simulated Annea for Determination of Parameters in the Water Quality Model
HE Song-nian,GUO Zhen-yuan. Application of Genetic Algorithms and Simulated Annea for Determination of Parameters in the Water Quality Model[J]. Sichuan Environment, 2010, 29(4): 134-138
Authors:HE Song-nian  GUO Zhen-yuan
Affiliation:(The Fourth Design & Research Institute of MI,Luoyang,Henan 471039,China)
Abstract:Determination of parameters is a basic work for establishing the water quality model.The modern optimization algorithms have more advantages compared with traditional methods.In this paper,based on the modern optimization algorithms to determine the parameters of the water quality model,genetic algorithms and simulated annea were introduced and their application status were reviewed to promote the further exploration in the field.
Keywords:Genetic algorithms  simulated annealing  water quality  model  parameter optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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