基于改进加速遗传算法的作物灌水率图修正研究

Modification of Crop Irrigation Rate Graph Based on Improved Accelerating Genetic Algorithms

提出了基于改进加速遗传算法的作物灌水率图修正方案。首先确定停水次数、块内均匀度和灌水率极差的3个子目标函数,再将多目标优化问题转化为单目标优化问题,最后执行基于个体修正模型的改进加速遗传算法的智能优化,关键对每代个体利用个体修正模型局部调整各次灌水起止时间。实例表明,灌水率图修正过程中,总目标函数从1.00降低到0.05,比相关文献低0.23,同时与无个体修正模型相比,有个体修正模型的142代以后的总目标函数值降低了近1个数量级。基于改进加速遗传算法的作物灌水率图修正方案是有效可行的,且其修正质量、修正速度和自动化水平较现有方法得到提高。

Correction scheme of crop irrigation rate graph based on improved accelerating genetic algorithm was proposed.First,three sub-objective functions,including the functions of times without water,uniformity within the blocks and range of irrigation rate were determined;Then,multi-objective optimization problem was transformed to single objective optimization problem;Finally,intelligent optimization of improved accelerating genetic algorithm based on individual correction model was executed,using individual correction model to partly adjust beginning and ending time of each irrigation.The example indicated that in the modification of irrigation rate graph,the whole objective function decreased from 1.00 to 0.05.Meanwhile,compared with no individual correction model,the whole objective function with individual correction model after the 142 ^nd generation decreased by about one order of magnitude.The correction scheme of crop irrigation rate graph based on improved accelerating genetic algorithm was efficient and feasible,whose quality,velocity and automation level of modification were improved compared with existing methods.