Evaluation of Thermal Insulation Performance of Building Exterior Wall Based on Multiobjective Optimization Algorithm

A complete evaluation of conflicting and nonlinear multiperformance is referred to as an system. Therefore, multiobjective optimization research for building performance great importance. Considering the above problems, this paper proposes a platform at architectural design stage. The combined with basic algorithms. It based on Grasshopper software. aims provide fast effective method sustainable buildings. important note that workflow has no restrictions what optimize or target, can be determined case-by-case basis. To evaluate use work make results more extensive, standard model inner corridor space in office buildings cold areas was extracted. extracted taken final object. At same time, convergence, distribution, comprehensive indexes simulation were analyzed. quantitative influence parameter system window parameters total energy consumption, lighting uniformity, glare probability established. series parametric models optimal solution consumption quality obtained. main purpose green principle goal-oriented design. This paper, group search function nondominated genetic algorithm (NSGA-II), building, indoor thermal humid environment, obtained linked MATLAB. residential comfort objectives scheme. automatic scheme Finally, Pareto set obtained, designer select appropriate according actual situation project, meet requirements optimized by effectively reduce improve comfort.