I have a water quality prediction model that can predict cl residual in the water distribution network. this model is a differential equation like below:
dcl/dt=function (time, cl, pipe diameter, mass transfer coefficient, Reynolds number)
In this model, there are three constant coefficients (A, B, C) that could be adjusted in order to predict cl residual in the network precisely. I have a few measurements of cl residual in different points of the water distribution network and I want to use these measurements to find my optimum model coefficients.
I would like to use the genetic algorithm (GA) in Matlab to adjust my model coefficients by minimizing the error between my predictions and network measurements that I have. but I need to know if something like this is doable? I have a network with more than 500 nodes and more than 3000 pipes. can I do water quality analysis with MSX/Matlab/GA?
I would appreciate if someone could help me.