A STUDY ON THE APPLICATION OF GENETIC ALGORISM TO CALIBRATION OF WATER QUALITY MODEL

Genetic algorithm, GA, 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, GA, was made use in order to calibrate the numerical simulation model, and its applicability to this kind of problem was discussed. The results obtained from calibrating the water quality simulation model show that the error defined by calculated and observed results gradually decreases as the proceed of alternation of generation, and GA succeeded to find the parameter set which makes the error much smaller than by other optimization method. Although some trials executed in this study thought the necessities of several implementations for the practical use of GA, it might be concluded that this method has some extent of applicability to the automatic calibration of numerical simulation model.