可持续建筑设计优化的生物灵感方法:多目标流向算法与一热编码.
Ahmet Serhan Canbolat1, Emre İsa Albak2
1Department of Mechanical Engineering, Engineering Faculty, Bursa Uludağ University, Bursa 16059, Türkiye.
Biomimetics (Basel, Switzerland)
|January 27, 2026
概括
这项研究优化了建筑绝缘,使用了一种新的生物灵感算法 (MOFDA) 和一热编码. 它平衡成本和二氧化碳排放,揭示气候特异性绝缘需求,并在可持续设计中优先考虑环境因素.
科学领域:
- 建筑科学与工程 建筑科学与工程
- 优化算法 优化算法
- 可持续设计 可持续设计
背景情况:
- 可持续的建筑设计需要对经济和环境目标进行先进的优化,特别是混合离散连续变量.
- 现有的元启发术在多目标建筑外优化中有效处理离散选择方面存在局限性.
研究的目的:
- 开发和应用一种新的生物灵感优化方法,用于外墙绝缘.
- 为了同时最大限度地降低建筑物在不同气候地区的生命周期成本和二氧化碳排放.
- 为可持续建筑设计提供气候意识的决策工具.
主要方法:
- 整合多用途流向算法 (MOFDA) 与一热编码,用于混合变量优化.
- 应用复杂比例评估 (COPRAS) 方法,加重香农,以选择帕雷托最佳解决方案.
- 对土耳其6个更新的气候区域的绝缘性能进行分析.
主要成果:
- 最佳隔热厚度和材料的气候变化 (例如,温暖地区的成本为3.3厘米的岩石羊毛,在寒冷地区的排放量高达40厘米).
- 香农值对二氧化碳排放量赋予了很高的权重 (88-92%),表明它们对决策产生重大影响.
- 偏好加热燃料的转变,从气候温和地区的液化天然气转向气候恶劣地区的燃料油.
结论:
- 采用一热编码的MOFDA框架有效地处理混合离散连续优化,以实现可持续的建筑绝缘.
- 生物启发的方法提供了一个强大的,气候意识的决策工具,展示了自然流动过程的转化为工程解决方案.
- 环境考虑,特别是二氧化碳排放,在优化不同气候的可持续建筑外方面发挥着主导作用.
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