Enhancing Form and Function: Exploring Generative Design with Multi-Objective Optimization for Bicycle Frame Engineering

This research proposes a new approach to bicycle frame design, integrating Generative Design (DG) and Multiobjective Optimization (OMO). The study focuses on creating a framework optimized in aesthetics and performance. Using Rhinoceros 3D software and Grasshopper, a parametric model defined by design variables and an aesthetic numerical measure that promotes the diversity of generative designs was developed. The optimization was performed with the SPEA-2 algorithm, via Octopus plug-in, generating Pareto-optimal solutions that balance weight, tube length and aesthetics.