Generative Design Vs Parametric Design

Generative Design Vs Parametric Design

Generative design and parametric design are two distinct approaches to design that leverage computational power to create and optimize designs. Generative design is a design exploration process that utilizes algorithms and artificial intelligence to generate a wide range of design options based on a set of predefined goals, constraints, and variables. This approach allows designers to input their design intent, such as desired performance criteria, materials, and manufacturing methods, and then let the computer generate numerous design alternatives that meet those criteria. The designer can then evaluate and refine the generated options to select the most suitable solution. On the other hand, parametric design is a design method that uses algorithmic thinking to define the relationships between design elements. In parametric design, the designer creates a set of rules and parameters that govern the behavior and characteristics of the design. By adjusting these parameters, the designer can create variations and iterations of the design while maintaining the underlying relationships and logic. Parametric design allows for greater flexibility and adaptability in the design process, as changes to one parameter can automatically update the entire design. While both generative and parametric design leverage computational tools, generative design focuses on exploring a wide solution space to find optimal designs, while parametric design emphasizes the creation of adaptable and responsive designs based on a set of rules and relationships. Interestingly, the concept of generative design can be traced back to the 1960s when architects and artists began experimenting with computer-aided design and algorithmic art.

generative algorithms, computational design, design automation, optimization, design space exploration, parametric modeling, algorithmic design, computer-aided design

— Taylor Williams