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During the last decades, the increasing need to ensure building performance during architectural design has led to highly interactive relations between architecture and various other disciplines, in which concepts of sustainability and building performance are tightly integrated into the design process. However, the adoption of these concepts in architectural practices and the recent advancements in the field have remained rather slow. This research aims to understand performative design (PD) in the context of existing design practices and investigate integrated design strategies and potentials of computational design throughout the whole design process. In this research, a qualitative study was carried out, focusing on PD processes in architectural practices based on semi-structured interviews and case studies. The collected data from nine selected architectural practices is analyzed through a thematic coding approach. The findings reveal that the widespread use of computational tools and technologies and the increasing awareness of both architects and clients on building performance have changed the design priorities in architectural practices. The results also show that the competence of the design team, the tools used during design processes, the involvement of direct and indirect stakeholders, shifting client demands, and market values are effective in pursuing an integrated PD process. Consequently, this research contributes to the current understanding of performative architectural design practices by investigating the key performance concepts, supporting computational tools, and finally the current practices of PD. [ABSTRACT FROM AUTHOR]

This work introduces Evolutionary Architectural Space layout Explorer (EASE), a design tool that facilitates the optimization of 3D space layouts. EASE addresses architectural design exploration and the need to attend to many alternatives simultaneously in layout design. For this, we use evolutionary optimization to find a balance between divergent exploration and convergent exploitation. EASE comprises a novel sub-heuristic that constructs valid spatial layouts, a mathematical framework to quantify the satisfaction of constraints, and evolutionary operators to improve alternative layouts' fitness. We test EASE on the design of a library building. We evaluate EASE's performance for different building forms and different evolutionary algorithm parameters. The results suggest that EASE can generate valid layouts, quantify the constraints' degree of satisfaction and find a number of optimal layout solutions. The layouts that EASE generates are intended not as end results but design artifacts that provide insight into the solution space for further exploration. [ABSTRACT FROM AUTHOR]