基于蚁群算法的多智能体模拟城市用地扩张

Multi-agent Simulation of Urban Land Expansion Based on Ant Colony Algorithm

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.