遗传算法参数对优化灌溉模型寻优过程的影响

Different Genetic Algorithms Parameter Effect for Searching Optimal Solution of Optimization Irrigation Model

通过研究不同遗传算法参数对优化灌溉模型寻优过程的影响,得到一组最优的遗传算法参数。结果显示初始群体n=20,交叉率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。

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.