摘要
针对精准农业土壤测量中,田地因土壤时空变异性,会出现与附近土壤差异较大的“斑块”,将田地中“斑块”位置信息进行整合并转化为TSP问题(旅行商问题)的变体。使用改进型蚁群算法对该TSP问题进行求解,并通过MATLAB软件对算法进行验证,使机器在田地行驶路径为最优路径,节约了机器燃料和运行时间。
In precision agricultural soil measurement,there will be patches which are quite different from the nearby soil,because of the spatial and temporal variability of soil.This paper integrates the location information of PATCH in the field and transforms it into a variant of TSP problem.In this paper,an improved ant colony algorithm is used to solve TSP problem,and the reliability of the algorithm is verified by MATLAB.The improved ant colony algorithm is also used to solve TSP problem,and the reliability of the algorithm is verified by MATLAB.The optimal path is obtained to save the fuel and running time of the machine.
作者
云泽晖
邵仕泉
买童宁
YUN Ze-hui;SHAO Shi-quan;MAI Tong-ning(Southwest Minzu University,Key Laboratory of Electronic and Information Engineering,State Ethnic Affairs Commission,Chengdu 610041,China)
出处
《中国农村水利水电》
北大核心
2020年第1期31-35,共5页
China Rural Water and Hydropower
基金
西南民族大学研究生创新型科研项目(硕士重点项目CX2018SZ95)资助。
关键词
精准农业
TSP
蚁群算法
precision agriculture
TSP
ant colony algorithm
