摘要
空调冷热源方案评价中各单项指标评价常常存在独立性和不相容性。本文将投影寻踪评价模型(PPE)应用于方案评价中,利用基于实码的加速遗传算法(RAGA)来优化投影方向,将多维数据指标转换成低维子空间,通过寻求最优投影方向来计算投影函数值,从而根据投影值的大小进行方案评价。结合实例进行验证,其结果合理,同时可以避免权重确定主观性,为空调冷热源方案的选择提供了一种新的方法和思路。
For the evaluation of cooling/heating sources of air-conditioning system, the assessments for each index are independent and incompatible. In this paper, PPE model was used for evaluating the scheme, and also RAGA was selected to optimize the projection direction. Therefore, multi-dimension data could be changed into low dimension space, and the value of projection function could be calculated by seeking the optimal projection direction. As a result, scheme evaluation could be carried out according to the value. The validation results from the case study indicated that the method presented in this paper was reasonable, and meanwhile, the weight coefficient could be determined more objectively. It could be concluded that a new thought was provided for scheme evaluation of cooling/heating sources of air-conditioning system.
出处
《建筑科学》
北大核心
2007年第6期16-18,23,共4页
Building Science
基金
华北水利水电学院青年科技基金项目(HSQJ2004020)
关键词
RAGA
投影寻踪
模型
空调
冷热源
RAGA
projection pursuit
model
air-conditioning system
cooling/heating sources
