Application of Projection Pursuit Model in Residential Building Comprehensive Performance Assessment
To assess residential building comprehensive performance involves a number of indices, each index weight is difficult to identify and the result is tend to be interfered by subjective factors. Therefore, the Projection Pursuit Classification Model (PPC) and a Real coded Accelerating Genetic Algorithm (RAGA) are presented to convert the multi-dimensional problem to onedimensional subspace and solve the multi-dimensional global optimization problem. According to the projection value to asses the comprehensive performance of residential building. It is easy to make decision, the result is relatively objective, and the projection values are dispersed. PPC provides a new approach to assess the comprehensive performance of residential building.
comprehensive performance Residential building PPC RAGA
Zhang Lei Li Huimin
School of Civil Engineering,Xian University of Architecture and Technology, Xian,China School of A School of Civil Engineering Xian University of Architecture and Technology Xian, China
国际会议
厦门
英文
851-855
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）