粒子群和遗传算法在农业工程中的应用  

Application of the PSO and Genetic Algorithm in Agricultural Engineering

作　　者：尤文坚[1] 叶雪英[2] 

机构地区：[1]广西农业职业技术学院电子信息工程系,南宁530007 [2]广西壮族自治区亚热带作物研究所农产品加工研究中心,南宁530001

出　　处：《农机化研究》2013年第1期209-212,共4页Journal of Agricultural Mechanization Research

基　　金：广西教育厅自然科学科研项目(200911LX547)

摘　　要：在农业工程的研究以及应用中,涉及到大量的系统优化问题,而传统优化算法在求解某些农业工程问题时,如离散优化问题,高非线性、多约束、多极值的问题,暴露了其局限性。粒子群算法和遗传算法具有独特的优点,在现代农业工程中逐渐得到了应用。为此,介绍了粒子群算法和遗传算法的原理,以及粒子群算法和遗传算法在农业机械优化设计、农业工程优化设计、现代农业发展规划、农产品物流网络优化和农村电网及无功补偿优化等领域的应用及研究进展。The research and application of agricultural engineering involve a great deal of system optimization problem,and the limitation is exposed when we solve some problems in agricultural engineering with traditional optimization algorithm,such as the problems of discrete optimization,high nonlinear,multi-constraint,multi-extremum.PSO and genetic algorithm have unique advantages,It be used in modern agriculture projects gradually.This paper introduces the principle of PSO and genetic algorithms,And the application and research progress of PSO and GA in agricultural machinery optimization design,Agricultural engineering optimization design,Modern agricultural development planning,Agricultural product logistics network optimization,rural power and reactive power compensation optimizationthe.

关 键 词：粒子群 遗传算法 农业工程 优化 

分 类 号：S119[农业科学—农业基础科学] TP183[自动化与计算机技术—控制理论与控制工程]