This paper proposes multi-objective optimization generative design (MOOGD) system for generating shapes and optimizing two design objectives. The framework of this paper covers parametric modeling of the product shape configuration using Grasshopper plug-in in Rhinoceros software as well as multi-objective optimization developed using Octopus plug-in on Grasshopper. This framework is applied onto the case study of Art Deco double clip brooch jewelry design. The main goals of the study are to design and to optimize shapes of the double clip brooch in two objectives. The first objective is to apply golden ratio to the generating shapes. The second one is to minimize the use of metal referring to weight of the brooch. In the system, MOOGD finally generates a Pareto front to show the optimal solutions, which artists or designers could further use in conceptual product design process. The illustration of the proposed system is provided in this paper.
CITATION STYLE
Sansri, S., & Kielarova, S. W. (2017). Multi-objective shape optimization in generative design: Art deco double clip brooch jewelry design. In Lecture Notes in Electrical Engineering (Vol. 449, pp. 248–255). Springer Verlag. https://doi.org/10.1007/978-981-10-6451-7_30
Mendeley helps you to discover research relevant for your work.