摘要
给出了利用遗传算法求解河流水质BOD-DO模型参数反演的一种新方法,该方法把参数反演问题转化为优化问题用遗传算法求解,其特点在于:从多个初始点开始寻优,并借助交叉、变异算子来获得水质参数的全局最优解。模拟结果表明,该方法具有精度高,收敛速度快且易于计算机实现等特点。
A new approach based on genetic algorithm for multi-parameters inversion of BOD-DO water quality model is proposed. It transforms the parameter inversion into solution of optimization problem using genetic algorithm. By using genetic algorithm the method can search the best solution from many initial points and obtain the total optimum solution of BOD-DO water model parameters by means of crossover and mutation operator. The results of numerical simulation show that the method has higher accuracy and quicker convergent speed than existing methods and is easy to program and calculate.
出处
《太原理工大学学报》
CAS
北大核心
2006年第5期600-602,共3页
Journal of Taiyuan University of Technology
关键词
水质模型
参数反演
遗传算法
water quality model
parameter inversion
genetic algorithm
