Multi-objective optimization framework based on review of form-finding of architectural parametric forms

Abstract

Parametric architecture has played a vital role in architectural design in recent times. Research on early form-finding of architectural forms represents a notable area of study. Despite the significance of energy performance, digital fabrication, and aesthetics as design objectives, there is a lack of a comprehensive framework that integrates them in the form-finding process. To address this gap, this research conducts a systematic review of previous studies on form-finding and optimization of architectural forms, focusing on the three aforementioned objectives. Then, based on the analysis of the selected studies, the research proposes a multi-objective optimization framework for form-finding of architectural parametric forms, considering energy performance, digital fabrication, and aesthetics. The framework comprises five phases: form generation, multi-objective optimization, aesthetic evaluation, geometry rationalization, and digital fabrication of a prototype. This framework is usable by any architect, regardless of their programming knowledge, and is applicable to any new architectural design.