| 应用微粒群优化算法进行公共图书馆选址 |
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| 引用本文： | 曾志芳,杜国明.应用微粒群优化算法进行公共图书馆选址[J].图书情报工作,2010,54(5):119-121. |
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| 作者姓名： | 曾志芳 杜国明 |
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| 作者单位： | 1. 中山大学图书馆;2. 中山大学地理科学与规划学院; |
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| 摘 要： | 针对公共图书馆选址问题，引入一种定量化方法，即微粒群优化算法。具体方法是：通过公共图书馆选址模型分析，建立目标函数；然后借助地理信息系统的二次开发，提取人口密度与小区单元面积等相关信息；最后应用微粒群优化算法完成公共图书馆选址。通过实验研究，证明微粒群优化算法可以有效地定量化解决公共图书馆选址问题。
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| 关 键 词： | 公共图书馆 选址 微粒群优化算法 地理信息系统 |
| 收稿时间： | 2009-08-24 |
| 修稿时间： | 2009-10-13 |
Location of Public Library Based on Particle Swarm Optimization |
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| Zeng Zhifang,Du Guoming.Location of Public Library Based on Particle Swarm Optimization[J].Library and Information Service,2010,54(5):119-121. |
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| Authors: | Zeng Zhifang Du Guoming |
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| Institution: | 1. Library of Sun Yat Sen University,;2. School of Geography Sciences and Planning, Sun Yat Sen University,; |
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| Abstract: | The paper introduces a new quantitative method, i.e., particle swarm optimization to solve the location of public library. First, it defines fitness function by analyzing the location model. Then, extracts related data such as areas of geographic units and population density by the secondary development of geographic information system. Finally, applies particle swarm optimization to realize the optimal location of public library. It is concluded by the experiment that particle swarm optimization is an efficient quantitative method of solving the location of public library. |
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| Keywords: | public library location particle swarm optimization GIS |
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