结合蜂群算法的城市发展建模

M. Mahdinia
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引用次数: 0

摘要

近十年来,发展中国家城市的快速发展已成为一个相当大的问题。因此,对城市动态过程进行不断修正,对过去的发展进行预测是必然的。本研究的目标是对1988- 2016年28年间Amol的蜂群城市化发展进行建模。为此,首先应从组织中收集所需的标准,并对其进行分析,并采用面向对象的方法从具有92% Kappa系数的Landsite中提取用户平面图;在此基础上对规划进行了验证,揭示了指示区面积增加最多850公顷,面积减少最多720公顷的变化规律。基于这些变化,选择了11个自变量作为模型入口,然后利用Bee算法方法进行转换和预测,为未来的建模提供了可能。预测结果与最新土地数据和以往研究结果的对比表明,现有研究结果更接近土地实际情况。此外,预测计划显示,未来发展最多的是阿莫勒的西北部和西部。关键词:蜂群;面向对象;城市化;预测计划;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Urban Development by Combining Bee Colony Algorithm
During recent decade fast development of cities in developing countries has been converted to considerable problem. Thereby, permanent revising of dynamic urban process with regarding to development in the past and predicting it in future is inevitable. Target of this research is modeling urbanization development of Amol by Bee colony in 28 years between 1988- 2016. For this purpose, initially should gather needed criterions from organizations, analyzed them and extracted user plans which are from Landsite with 92 percent Kappa coefficient by oriented-object method; then verification of plans and revelation of changes have been done which had the most increasing of area in instructed regions 850 hectares and the most decreasing of area 720 hectares. Based on these changes, 11 independent variables have chosen as entrance of model and then potential using of converting and predicting for future modeling by Bee algorithm method. Comparison prediction results with the newest land data and past studying shows that existence research results are more similar to land realities. Also predicted plan has shown the most amount of development in the future is in north-west and west of Amol. Keywords: Bee colony; oriented-object; urbanization; predicted plan;
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