基于遗传算法的建筑节能集成优化设计初探

Optimization design of building energy saving based on genetic algorithm

为探索建筑节能集成优化设计的有效方法,基于遗传算法进行深入研究。通过建立针对建筑节能优化设计框架、模块化设计思路及设定明确优化目标和约束条件,详细分析了遗传算法在建筑节能设计中的应用,包括选择、交叉和变异操作、算法迭代与收敛性分析。研究结果表明,通过合理设置适应度函数和算法参数,遗传算法能有效优化建筑设计,显著提升了建筑能效性能,为建筑节能集成优化设计提供了一种新工具。

In order to explore the effective method of building integrated optimization design for energy conservation,the genetic algorithm based method is used for further research.By establishing the optimization design framework for building energy saving,modular design idea and setting clear optimization goals and constraints,the application of genetic algorithm in building energy saving design is analyzed in detail,including selection,crossover and variation operation,algorithm iteration and convergence analysis.The results show that the genetic algorithm can effectively improve the building design and significantly improve the building energy efficiency performance.This study can provide a new tool for the integrated optimization design of building energy efficiency.