Construction of Sustainable Building Performance Optimization Design Model Based on Sensitive Multi-Objective Decision Making

Abstract

In view of the frequent changes in the building performance scheme and the many factors affecting the indicators, it is difficult to achieve better application accuracy and optimization effect only based on the experience of architects. Moreover, due to the limitation of professional ability, it is difficult to analyze the architectural design process directly with the help of intelligent algorithms, and the interactivity is poor. Based on this, the study proposes an optimization design scheme based on sensitivity multi-objective decision-making, which takes the sensitivity factor into consideration, optimizes the design scheme based on the relationship between architectural variables, and achieves the calculation of the fitness function of the multi-objective problem with the help of intelligent optimization algorithms. The results indicated that the improved algorithm has better convergence and effectiveness when carrying out the selection of program indicators, and it can obtain the average number of performance-attained design solutions is 5.58. After the improvement of the building program, it was found that the influence weight of the glass heat transfer coefficient accounted for a larger proportion, and the error value of the indicator results was smaller, which effectively improved the optimization efficiency of the building. And in the optimized design of the scheme, the number of modifications were less than 12 times, which was much smaller than the number before optimization. The proposed method can effectively provide reference value for architects to carry out program optimization.