By conducting the research on different genetic algorithms parameter effect for searching optimal solution of optimization irrigation model, a group of most optimal genetic operator parameters were obtained. Result showed that the searching efficiency is the highest under initial population n=20, crossover rate pc=0.5 and mutation rate pm=0.01. At the same time, using this group of optimal combination of parameters, the optimal solution has been gained after searching optimal solution under five different irrigation volumes.