Inverse Problem of Multiple Parameters Identification for BOD-DO Water Quality Model Using Evolutionary Algorithm

Abstract

Parameter inversion of solute BOD-DO water quality model was generally solved through a nonlinear operator equation. The original problem is finally transformed into an optimization problem by creating fit function. We used the genetic algorithm, which can search the best solution from many initial points and obtain the total optimum solution of water quality model three parameters at the same time, and solve the problem by means of crossover and mutation operator. The results of numerical simulation show that the method has higher accuracy, quicker convergent speed and better stabilization than existing methods and is easy to program and calculate.