基于粒子群算法的建筑空间利用率优化方法研究  

Research on optimization method of building space utilization based on particle swarm optimization

作　　者：刘倩[1] LIU Qian(Shaanxi National Defense College of Industrial Technology,Xi’an 710300,China)

机构地区：[1]陕西国防工业职业技术学院,陕西西安710300

出　　处：《电子设计工程》2020年第16期17-20,25,共5页Electronic Design Engineering

基　　金：陕西省教育厅专项科研计划项目(19JK0081)。

摘　　要：建筑空间优化是一种集合多种目标、多个空间维度和多边界条件的综合空间优化技术,针对现有技术受到优化面积的限制,不能满足小户型建筑空间的优化的问题。文中结合粒子群算法,构造了小户型建筑空间优化模型,根据空间优化方法,将所优化的空间划分为6个区域。分别采用平均建筑空间面积和预计使用时间,来表示模型中个体粒子点与全局粒子点的定位数据,通过粒子的位置来评估该解决方案的适用性并构造虚拟空间的规划方案。仿真测试结果表明,采用该优化设计方案的小户型建筑空间成本降低了16.3%~46.8%,空间利用率提高了5.6%以上。Building space optimization is a kind of comprehensive space optimization technology which integrates multiple objectives,multiple spatial dimensions and multiple boundary conditions.In view of the limitation of the existing technology by the optimization area,it can not meet the optimization of small apartment building space.In this paper,the Particle Swarm Optimization(PSO)algorithm is combined to construct the space optimization model of small apartment building.According to the space optimization method,the optimized space is divided into six areas.The average building space area and estimated use time are used to represent the location data of individual particle point and global particle point in the model.The applicability of the solution is evaluated by the particle location and the virtual space planning scheme is constructed.The simulation test results show that the space cost of the small apartment building with the optimized design scheme is reduced by 16.3%~46.8%,and the space utilization rate is increased by more than 5.6%.

关 键 词：建筑空间 小户型 粒子群算法 利用率优化 

分 类 号：TN98[电子电信—信息与通信工程] TP183[自动化与计算机技术—控制理论与控制工程]