摘要
把蚁群算法引入到多智能体(Multi Agents,MAS)模型中来模拟城市演变过程。智能体(Agent)在元胞自动机(Cellularautomata,CA)确定城市发展概率的基础上,通过蚁群算法来寻找最大效用值的元胞地块,建立一个能模拟多个自然因素以及不同决策者共同影响的城市用地扩张模拟系统。实验表明,引入蚁群算法的模型能更好地模拟了城市演变过程。
Ant colony algorithm is introduced into the multi-agent （Multi Agents, MAS） model to simulate urban evolution. With the probability of urban development, agent through the ant colony algorithm to find the maximum utility plots, buihting a system which can simulate and analog urban expansion with a number of natural factors and different decision. The experiments show that the introduction of the ant colony algorithm to better simulate urban evolution.
出处
《科学技术与工程》
北大核心
2013年第6期1638-1642,共5页
Science Technology and Engineering
基金
国家863项目(2012AA121402)
国家973项目(2010CB434803)资助
关键词
MAS模型
蚁群算法
CA模型
城市演变
MAS CA Geographic Information System （GIS） evolution of the city
