北京大学学报：自然科学版2011，Vol.47Issue(6)：1097-1104,8.
基于遗传算法的非线性Lowry模型模拟研究
A Simulation Research of Nonlinear Lowry Model Based on Genetic Algorithm
摘要
Abstract
Under the principle of genetic algorithm, by using the genetic algorithm toolbox, after proving the applicability of genetic algorithm on a numerical example of 3 zones, 3-section economy of nonlinear Lowry model, the authors use this model to perform a simulated experiment on 9 zones, 3-section economy under a fan-shaped urban framework. The results show that, at first, if the residential charm of every district is at the same degree, traffic factor will play a very important role in residential structure of urban area; secondly, the district at the best traffic location owns the highest population density. Because of the limitation of land and maximization of economic goal, this type of district is the first choice to the industry which have high added value. This article shows a good explanatory ability of nonlinear Lowry model and lays a good foundation for the practical simulated research of urban.关键词
Lowry模型/遗传算法（GA）/非线性规划/土地利用Key words
Lowry model/genetic algorithm （GA）/NLP/land use分类
管理科学引用本文复制引用
周彬学,戴特奇,梁进社,张华..基于遗传算法的非线性Lowry模型模拟研究[J].北京大学学报：自然科学版,2011,47(6):1097-1104,8.基金项目
中国科学院知识创新工程（KZCX2-YW-QIO-4）和国家自然科学基金（41001071,40701040）资助 （）
