“Generative Design” is a technology that uses artificial intelligence (algorithms) and the computing power of the cloud to suggest solutions that meet the different parameters and goals assigned by the designers our engineers.
While the usual design optimization is based on starting with a basic concept and then analyzing, refining, adjusting … for better results, the generative design mimics nature’s evolutionary approach to design.
Designers or engineers input design goals into generative design software, along with parameters such as materials, manufacturing methods, and cost constraints. The generative design software then explores and tests by iteration, all the possible combinations of solutions and quickly generates design alternatives.
Generative design uses an iterative design process that involves a program that will generate a certain number of optimal solutions to meet the constraints imposed by the designer.
During the “Autodesk University” event of November 2018, the beta “Refinery” project was announced. This project introduces the concept of “Design Optimization” a new phase in generative design. Rather than generating all the solutions that meet the constraints, parameters and initial objective, this new algorithm will focus on only the most relevant solutions. It is based on an optimization algorithm called “NSGA-II”. Click here for more information on NSGA-II .
Ressources : Autodesk university
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