基于量子遗传算法的挠性圆盘式移栽机投苗系统参数优化方法  

Parameters optimization of soft disc-type vegetable seedling transplanting mechanism based on quantum genetic algorithm

作　　者：王石[1] 王笑岩[2] 李成华[3] 

机构地区：[1]沈阳农业大学工程学院,辽宁沈阳110866 [2]朝阳师范高等专科学校数学计算机系,辽宁朝阳122000 [3]沈阳理工大学机械工程学院,辽宁沈阳110168

出　　处：《中国农机化学报》2014年第2期139-142,共4页Journal of Chinese Agricultural Mechanization

基　　金：辽宁省高教学会"十二五"高等教育科研课题(GHYB110216)

摘　　要：为了得到更好的秧苗移栽效果,本文以挠性圆盘式移栽机为研究对象,建立以秧苗落地夹角最小值为决策目标的函数优化模型;应用量子遗传算法对在投苗过程中影响秧苗落地角度的移栽机投苗机构参数、运动参数及栽植参数进行优化。根据本文优化特点及相应选择策略,量子遗传算法中的量子位旋转角度参数值选择为0.01π。在优化结果与分析试验中,该算法与传统遗传算法及改进遗传算法相比,拥有较高运算质量、更好的计算稳定性和较强的寻优能力。研究结果为蔬菜移栽机的机构参数化设计、优化设计和试验研究提供了理论依据。In order to obtain a better seedling to transplant, this article takes the flexible disk transplanter as the object. An optimization model is established with the minimal landing angel of seedling as the decision objective. The quantum genetic algorithm （QGA） is used to carry on the optimization to the structure parameters, kinematic parameters and planting parameters, which could influence landing angel of landing. According to the optimization characteristics and the adjust tactics of rotational angle of this article, the value of qubits rotation An- gle is 0.0let. The optimization results and analysis indicate the optimal approach proposes in this paper has better operation quality, calcula- tion stability and optimization ability than the traditional genetic algorithm （GA） and improved genetic algorithm （IGA） . The research can provide valuable theoretical basis for the parametric design, the optimized design and the experimental study.

关 键 词：量子遗传算法 蔬菜移栽机 挠性圆盘 参数优化 落地角度 

分 类 号：S223.94[农业科学—农业机械化工程]