基于改进最大最小蚁群算法的方格蔟采茧机采茧路径优化  

Optimization of Cocoon-Picking Route of Mountage Cocoon Harvestor Based on Improved Max-Min Ant Colony Algorithm

作　　者：刘保季 李法德[1,3] 宋占华 刘莫尘[1,4] 田富洋 赵庆吉[1] 李玉道 闫银发[1] Liu Baoji;Li Fade;Song Zhanhua;Liu Mochen;Tian Fuyang;Zhao Qingji;Li Yudao;Yan Yinfa(Mechanical and Electronic Engineering College,Shandong Agricultural University,Tai’an Shandong 271018,China;Beiqi Foton Aoling Automobile Factory,Weifang Shandong 262200,China;Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments,Tai’an Shandong 271018,China;Shandong Agricultural Equipment Intelligent Engineering Laboratory,Tai’an Shandong 271018,China)

机构地区：[1]山东农业大学机械与电子工程学院,山东泰安271018 [2]北汽福田奥铃汽车厂,山东潍坊262200 [3]山东省园艺机械与装备重点实验室,山东泰安271018 [4]山东省农业装备智能化工程实验室,山东泰安271018

出　　处：《蚕业科学》2021年第5期435-442,共8页ACTA SERICOLOGICA SINICA

基　　金：财政部和农业农村部国家现代农业产业技术体系项目(CARS-18);山东省现代农业产业技术体系建设项目(SDAIT-18-06);国家自然科学基金青年基金项目(32001419)。

摘　　要：方格蔟自动采茧机对纸板方格蔟进行采茧时,电磁采摘器需遍历整个方格蔟,由于方格蔟中存在较多的未营茧空格,还有部分黄斑茧等下茧,造成方格蔟采茧机遍历无效路径长、采茧效率低。为了提高方格蔟采茧机的采茧速度和采茧效率,实现采茧机的选择性高效采茧,对基于最大最小蚁群算法的信息素更新方式和状态转移概率函数进行改进并应用于方格蔟采茧机采茧路径优化,使采茧路径和时间更短。试验结果显示,对于不同营茧率的方格蔟,采用改进的最大最小蚁群算法较最大最小蚁群算法的采茧效率均有不同程度上的提高,当营茧率在75%~90%时,采茧路径节约率为3.8%~4.1%,时间节省率为10.0%~12.8%。The electromagnetic picker needs to traverse the whole mountage when the automatic cocoon harvestor works to pick cocoons from the paperboard square frame.Because there are many unencumbered cocoon spaces in the mountage,and some defective cocoons like yellow spotted ones,the mountage cocoon harvestor usually has a long invalid route and low cocoon picking efficiency.In order to improve the speed and efficiency of cocoon picking machine with grid cocooning and realize the selective and efficient picking,the pheromone updating method and the state transition probability function based on the maximum and minimum ant colony algorithm were improved in this study to optimize the picking route of cocoon picking machine with grid cocooning,so as to shorten the picking route and time.The results showed that the cocoon picking efficiency of the improved max-min ant colony algorithm was higher than that of the original one to varying degrees for the grid cocooning with different cocooning rates.When the cocooning rate is 75%-90%,the saving rate of cocoon picking route is 3.8%-4.1%,and the time saving rate is 10.0%-12.8%.

关 键 词：自动采茧 方格蔟 路径规划 最大最小蚁群算法 

分 类 号：S887.331[农业科学—特种经济动物饲养]