Estimation of Model Parameter of Water Quality Simulation Model using Genetic Algorithm

Genetic algorithm is one of the well-known methods to solve global optimization problems and its use is becoming widespread in many branches of engineering. In this study, this optimization method was made use in order to calibrate the water quality simulation model, and its applicability to this kind of problem was discussed. The results obtained from calibrating the water quality model show that the error defined by calculated and observed results gradually decreases as the proceed of alternation of generation, and genetic algorithm succeeded to find the parameter set which makes the error much smaller than by other optimization method. Although several implementations for the practical use of this algorithm, it might be concluded that genetic algorithm has some extent of applicability to the automatic calibration of numerical simulation model