【作者】 张兵； 袁寿其； 张建生； 李红； 史建平；

【Author】 Zhang Bing, Yuan Shouqi, Zhang Jiansheng, Li Hong (ChangZhou Institute of Technology, Jiangsu 213002,China)

【机构】 常州工学院；

【摘要】 主要研究利用遗传算法对优化灌溉模型寻优的过程,不同遗传算法参数对寻优过程的影响。通过不同参数对模型求解过程的对比,得到一组对应该模型最优的遗传算法参数。结果显示初始群体n=20,交叉概率pc=0．5,变异概率pm=0．01时遗传算法寻优效率最高。同时在该组最优组合参数下,对模型的5 种灌水量水平进行了优化求解,并得到了模型的最优解。更多还原

【Abstract】 the process of searching optimization solution by genetic algorithm was studied and effects of different genetic operator parameters on searching optimal solution were discussed. A group of the most optimal genetic operator parameters were gotten by contrasts of different genetic parameter. Result shows that the searching efficiency is most high under population n=20, crossover rate pc =0.5 and mutation rate pm =0.01. the optimization solution is gained under the group of genetic parameter for five different irrigation volume.更多还原