Adapting empirical equations to Lake Kinneret data by using three calibration methods

A sensitivity analysis of the GA operators' values indicated that using a crossover probability of 80% produced the best prediction. Furthermore, since the GA sometimes converges to local optimum, it must operate for a number of runs. We found that in our case 20 GA runs provided the most robust results.