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基于PSO-CA的景德镇南河流域窑址景观演变模拟

刘陶 肖绚

计算机应用研究2013,Vol.30Issue(2):462-464,3.
计算机应用研究2013,Vol.30Issue(2):462-464,3.DOI:10.3969/j.issn.1001-3695.2013.02.039

基于PSO-CA的景德镇南河流域窑址景观演变模拟

Kiln landscape evolvement of Jingdezhen Nanhe river basin based on PSO-CA

刘陶 1肖绚1

作者信息

  • 1. 景德镇陶瓷学院信息工程学院,江西景德镇333403
  • 折叠

摘要

Abstract

By taking advantage of PSO algorithm' s characteristics of quick searching and optimizing in space, this paper used improved particle swarm algorithm in MATLAB 7. 0 environment to determine the location of K target grids from N × M grid space, made the average distance the smallest from the target grid to Nanhe, Nanshan and the clay mine. Then, by combining the K target grids' land suitability with the neighboring land utilization, this paper concluded whether target grid could evolve into a kiln site. This model simulated the evolvement of kiln landscape along Nanhe river of Jingdezhen, from the Five Dynasties to Northern Song Dynasty. Through a comparative analysis of different evolutions with different K value and probability threshold, it got the right value. With the right value, the simulated Moran' s I index was close to the actual Moran' s I index. It is proved that the model is effective in simulating kiln landscape evolvement of ancient times. At the same time, this paper gave a new solution to study landscape evolution without GIS spatial data.

关键词

粒子群算法/元胞自动机/景德镇/窑址/景观演变

Key words

PSO/ cellular automation/ Jingdezhen/ kiln/ landscape evolvement

分类

信息技术与安全科学

引用本文复制引用

刘陶,肖绚..基于PSO-CA的景德镇南河流域窑址景观演变模拟[J].计算机应用研究,2013,30(2):462-464,3.

基金项目

国家自然科学基金资助项目(41061020) (41061020)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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