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Multi-objective interior design optimization method based on sustainability concepts for post-disaster temporary housing units

机译：基于灾后临时住房单元可持续发展概念的多目标室内设计优化方法

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摘要

Temporary housing units (THUs), which are provided after disasters, are crucial in terms of sustainability pillars (economic, social, and environmental). In general, THUs, which are regular houses with minimum space and facilities, incorporate some negative aspects of the building industry. Additionally, as large numbers of THUs are usually provided in a short time and under emergency situations, some negative impacts of these units escalate. In this context, this study aims at reducing some negative impacts of THUs by applying a novel optimization model that maximises sustainability indexes by simulating the design of interior geometries for THUs. This method is based on the coupling of artificial intelligence and a multi-criteria decision-making model for sustainability assessment. The proposed model generates optimal solutions using a backtracking algorithm together with a binary search. To evaluate the sustainability indexes, an Integrated Value Model for Sustainability Assessment (MIVES) is applied. This novel method enables decision makers to automatically generate the most suitable alternative solutions for the early design stage of THUs. The results confirm that small changes in the interior geometric design can remarkably affect the sustainability indexes of THUs.
机译：临时住房单位（因此）在灾害之后提供，在可持续性柱（经济，社会和环境）方面至关重要。一般来说，这是普通房屋，具有最小空间和设施，包括建筑业的一些负面方面。另外，由于通常在短时间内和紧急情况下提供大量的，这些单元的一些负面影响升级。在这种情况下，本研究旨在通过应用一种通过模拟室内几何形状的设计来减少一种最大化可持续性指标的新颖优化模型来减少一些负面影响。该方法基于人工智能的耦合和可持续性评估的多标准决策模型。所提出的模型使用BackTracking算法以及二进制搜索产生最佳解决方案。为了评估可持续性指标，应用可持续性评估（MIVES）的综合价值模型。这部新颖方法使决策者能够自动为早期设计阶段生成最合适的替代解决方案。结果证实，内部几何设计的小变化可以显着影响因此的可持续性指标。

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