In this research, we proposed an evolutionary architectural design method to provide conceptual yet performative architectural schemes for early stage of the design process of architectural projects. The design method is based on computational technologies as essential components, which the method utilizes digital design modeling tools, computer simulations and algorithms to contribute to the respective process of the design method. During this research, we have been constructing the building design developing work-flow, for each procedures governed by different CAD instruments and techniques to support the design process. And most importantly, it’s able to effectively propose relatively developed architectural schemes as resultant outcome.

By the presented procedures of information association, design encode, design variable construction, system simulation and algorithm iteration, it contributes to a multiple performative generative design process that being capable of providing an desiring design solution for architectural projects. In this research, we facilitate digital modeling tools Rhinoceros and programming environment Grasshopper along with its plug-in, building connections with environmental simulation software, and incorporate Genetic Algorithms to complete generative design process and building performance optimization.

The generative design method, the respective design process and the adaptive, performative design logic are the evolutionary approaches to alternate and improve early architectural design processes. The method has present great potential to implement on practical projects in the early stage of design process to explore design possibilities, as well as providing structured architectural schemes and objective optimized solutions.

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