摘要
空间过程分析和模拟是当前的研究热点之一,而以往的空间优化多是以静态的城市空间进行的,没有考虑城市的动态变化情况。本文在此基础上将模拟和优化同时进行,提出了协同空间模拟与优化的概念。以公共设施空间选址、路径覆盖优化、自然保护区规划及城市能源消耗情景模拟为例,证实了协同空间模拟与优化在快速城市化地区应用的可行性与实用性。
Spatial process analysis and simulation is one of the hot research areas. However, spatio-optimization is usually based on static patterns which ignore the dynamic process. This paper discusses the concept of collab- orative space simulation and optimization and then provides the examples on how simulation and optimization can be integrated. The examples include optimal site selection for public facilities, path coverage optimization, nature reserve planning and scenarios simulation for urban energy consumption. Results show that this proposed method can be successfully applied especially for the fast growing regions.
出处
《地球信息科学学报》
CSCD
北大核心
2013年第3期321-327,共7页
Journal of Geo-information Science
关键词
协同
空间模拟
空间优化
蚁群优化算法
collaboration
spatial simulation
spatial optimization
ant colony optimization