| 基于蚁群算法的多智能体模拟城市用地扩张 |
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| 引用本文： | 王桂林,杨昆. 基于蚁群算法的多智能体模拟城市用地扩张[J]. 科学技术与工程, 2013, 13(6) |
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| 作者姓名： | 王桂林 杨昆 |
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| 作者单位： | 云南师范大学,云南师范大学信息学院 |
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| 基金项目： | The National High Technology Research and Development Program of China (863 Program) |
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| 摘 要： | 本文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（Cellular automata ,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。
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| 关 键 词： | MAS模型；蚁群算法；CA模型；城市演变 |
| 收稿时间： | 2012-10-14 |
| 修稿时间： | 2012-11-05 |
Multi-Agent Simulation Of Urban Land Expansion Based On Ant Colony Algorithm |
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| wangguilin and YangKun. Multi-Agent Simulation Of Urban Land Expansion Based On Ant Colony Algorithm[J]. Science Technology and Engineering, 2013, 13(6) |
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| Authors: | wangguilin and YangKun |
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| Abstract: | 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,building 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. |
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| Keywords: | MAS CA Geographic Information System (GIS) Evolution of the city |
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