基于遗传算法的小麦收割机路径智能优化控制研究  

Research on Intelligent Optimization Control of Wheat Harvester Path Based on Genetic Algorithm

作　　者：梁肖 周湘贞[2] 

机构地区：[1]河北政法职业学院计算机系,石家庄050000 [2]郑州升达经贸管理学院信息工程系,郑州451191

出　　处：《农机化研究》2018年第2期56-60,共5页Journal of Agricultural Mechanization Research

基　　金：河南省科技攻关计划项目(142102310362)

摘　　要：基于遗传算法,以小麦收割机全局路径优化为研究目标,对小麦收割机从起始点到终点的收割作业问题进行了数学建模,并利用Mat Lab软件进行了仿真计算。结果表明:采用遗传算法得到的优化路径比驾驶员主观的随机路径缩短路线19km,节省费用和时间各为10.8%和7.8%。这说明,该算法可以对小麦收割机全局路径进行有效优化,能够大大提高小麦收割机的工作效率,实际应用前景广阔。Based on genetic algorithm,it studied the path optimization of wheat harvester global through harvesting wheat harvester from the starting point to the end,the mathematical modeling and simulation by using MATLAB software. The simulation results showed that the random path optimization path obtained by genetic algorithm than the subjective saving route 19 km,save cost and time is 10. 8% and 7. 8%,indicating that the algorithm can effectively optimize the wheat harvester global path,which can greatly improve the wheat harvesting efficiency,application prospect.

关 键 词：小麦收割机 路径优化 遗传算法 MATLAB 

分 类 号：S225.3[农业科学—农业机械化工程]