Abstract
Designing efficient and sustainable buildings is an essential focus in architecture and engineering, often tackled through various different optimization methods. However, the complexities of the design process and its multiple criteria pose challenges. In this sense, multi-objective optimization has emerged as a valuable tool for integrating these diverse requirements. This study synthesizes research on multi-objective optimization in building design, identifying key characteristics, and evaluating the correlation between its variables and objectives. A literature review was conducted to assess the main studies about this type of optimization, determining the most common variables and objectives and their combinations. The results show that although multiple objectives exist, they often belong to the same field. The findings reveal that volume shape and structural shape are standard variables in optimization, linking architecture, structure, and environmental impact. Overall, the review showed the opportunities for exploring multi-objective optimization to integrate these three fields.
Published Version
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