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Position: Home > Articles > Research on Intelligent Optimization Control of Wheat Harvester Path Based on Genetic Algorithm Journal of Agricultural Mechanization Research 2018,40 (2) 56-60

基于遗传算法的小麦收割机路径智能优化控制研究

作  者:
梁肖;周湘贞
单  位:
河北政法职业学院计算机系;郑州升达经贸管理学院信息工程系
关键词:
小麦收割机;路径优化;遗传算法;MatLab
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。
译  名:
Research on Intelligent Optimization Control of Wheat Harvester Path Based on Genetic Algorithm
作  者:
Liang Xiao;Zhou Xiangzhen;Department of Computer Science,Hebei Professional College of Political Science and Low;Department of Information Engineering,Shengda Economics Trade & Management College of Zhengzhou;
关键词:
wheat harvester;;path optimization;;genetic algorithm;;MatLab
摘  要:
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.

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