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.
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张兵,袁寿其,张建生,孙俊,李红,黄文生.遗传算法参数对优化灌溉模型寻优过程的影响[J].农业机械学报,2008,39(10):129-133.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(10):129-133.