基于遗传算法的Logistic模型与McDill-amateis模型比较研究  

Comparison of Logistic Model Based on Genetic Algorithm and McDill-amateis Model

作　　者：杨年友[1] 马友平[2] 

机构地区：[1]湖北省建始县长岭岗林场,湖北建始445300 [2]湖北民族学院生物科学与技术学院

出　　处：《湖北民族学院学报（自然科学版）》2007年第3期335-337,342,共4页Journal of Hubei Minzu University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(90302014)

摘　　要：Logistic模型与McDill-amateis模型的参数有明确的生物学意义,能较好的反映林木的生长过程,其参数的拟合有多种方法,应用基于实数编码的遗传算法目标适应函数采用误差平方和比例数取得了理想的结论.Parameters of logistic model and McDill - amateis model have specific biological meanings and they can reflect the growth process of forest timbers. There are several methods for the fitting of parameters of these two models. Better results were obtained in this paper than those in references cited by using genetic algorithm based on real - coding and reciprocal error square sum in object fitness function. 　

关 键 词：遗传算法 LOGISTIC模型 McDill-amateis模 

分 类 号：S758.62[农业科学—森林经理学]