Product Design with Multi-objective Optimization Generative Design Method: A Case Study of Art Deco Double Clip Brooch Design
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Abstract
This research proposes Multi-Objective Optimization Generative Design (MOOGD) system that searches the optimal solutions within multiple objectives. MOOGD is able to generate various and number of three-dimensional (3D) models of the solutions. The parametric design model algorithm is created to generate parametric 3D models and parametrically control shapes of the 3D models. As well as, the optimal search for multiple objectives is developed based on Strength Pareto Evolutionary Algorithm II (SPEA-II). MOOGD uses Pareto-Optimal Front method to search a set of optimal solutions. Those solutions are automatically decoded to 3D models and presented in Computer-Aided Design (CAD) software to designers. MOOGD, therefore, works as a decision support tool in product design process. The research methodology is presented via a case study of the design of Art Deco double clip brooch with two objectives: minimum weight of the brooch, while maximize golden ratio of the brooch. The research methodology can be applied to design other industrial products.
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