Research on the Architectural Generative Design Practices Driven by Optimization Algorithms

The development of technology will eventually lead to industry transformation. By studying the relevant contents of the optimization algorithm and its application cases, the present study aims to provide future architectural design practice methods and create more possibilities. This paper sorts the optimization algorithms development and the historical evolution of its application in architectural design. Simultaneously, the algorithm-based generative design platform and its corresponding plug-in have been generalized. Based on the analysis of two specific cases, this paper proposes the concept and process of building designs driven by an optimization algorithm. Under the background of transforming architectural practice towards “digitalization”in the new century, the general process of building generative designs driven by the optimization algorithm is summarized from different perspectives. These include the selection of design platform, determination of optimization goals for different design stages, and iterative process of algorithm optimization. Then, the development prospects of the optimization algorithm and its potential impact on architects are discussed.