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基于遗传算法的河流水质模型参数估值系统
Research on parameter estimation system of stream water quality model by the Genetic Algorithm
【摘要】 河流水质模型的参数最优化估值需要进行约束非线性规划的求解,遗传算法是一种高效的启发式随机搜索算法。将遗传算法应用于河流水质模型的参数估值问题的求解,开发了基于遗传算法的QUAL2E模型参数估值系统,并进行了算例验证,结果表明该系统具有较高的可靠性和搜索效率。
【Abstract】 The parameter optimization estimation of the stream water quality model needs to solve constraining nonlinear programming, the genetic algorithm(GA) is an effective heuristic random search algorithm .The genetic algorithm is applied in the parameter estimation of stream water quality model in this paper.The writer developed a parameter estimation software system for QUAL2E model and tested the system with calculation case,the test indicates that the system is reliable and effective.
【关键词】 遗传算法;
河流水质模型;
参数估值;
QUAL2E;
【Key words】 genetic algorithm; stream water quality model; parameter estimation; QUAL2E;
【Key words】 genetic algorithm; stream water quality model; parameter estimation; QUAL2E;
- 【文献出处】 重庆工商大学学报(自然科学版) ,Journal of Yuzhou University (Natural Sciences Edition) , 编辑部邮箱 ,2005年02期
- 【分类号】X824
- 【被引频次】12
- 【下载频次】240