A preference-based multi-objective building performance optimization method for early design stage  

作　　者：Borong Lin Hongzhong Chen Yanchen Liu Qiushi He Ziwei Li 

机构地区：[1]Department of Building Science,Tsinghua University,Beijing 100084,China [2]College of Civil Engineering,Guangzhou University,Guangzhou 510006,China [3]College of Architecture&Urban Planning,Beijing University of Technology,Beijing 100124,China

出　　处：《Building Simulation》2021年第3期477-494,共18页建筑模拟（英文）

基　　金：supported by the National Science Foundation for Distinguished Young Scholars of China(No.51825802);the China Postdoctoral Science Foundation Grant(No.2019M650408).

摘　　要：A large number of cases show that the multi-objective optimization method can significantly improve building performance.The method for multi-objective building performance optimization(BPO)design has achieved rapid development in recent years.However,the BPO method still needs to be improved.Specifically,weak interaction between the optimization process and the decision-making process results in low optimization efficiency,which limits the widespread application of the optimization method in early design stage.In this paper,a new interactive BPO mode is explored to strengthen the interaction between the optimization process and decisionmaking process,and a preference-based multi-objective BPO method is proposed to account for designers'decision preferences during the optimization process,making the objective more controllable,improving the optimization efficiency and ensuring the diversity of solutions.Firstly,this paper illustrates the proposed method in detail,defines the concept of performance preference,expounds the flow of the preference-based multi-objective optimization algorithm,and proposes three indicators to evaluate the algorithm,which includes convergence speed,preference satisfaction rate,and diversity measurement.Secondly,through testing and comparison,it is found that the proposed preference-based algorithm has advantages over the non-preference optimization algorithm(represented by the NSGA-II algorithm).The proposed method leads to faster convergence and higher preference satisfaction,so it is more suitable for the BPO process in the early design stage.Specially,the proposed method can achieve 100%preference satisfaction rate with only 2400 simulations,while the non-preference method can only achieve 20%preference satisfaction rate after 5800 simulations.In this paper,a preference-based multi-objective BPO method is proposed to make the optimization process closely interact with the decision-making process and make the design preferences be accounted during the BPO process,thereby improving the

关 键 词：building performance optimization(BPO) preference oriented design Pareto-front early design stage 

分 类 号：TU201[建筑科学—建筑设计及理论]