Evolving Design For Engineering Structures – paper (July 2024)

This paper was presented by Professor Andy Tyrrell on behalf of our Alumni, Rahul Dubey at the July 2024 IEEE sponsored World Congress on Computational Intelligence from June 30 – July 5, in Yokohama, Japan Conference

In recent years, the evolutionary developmental (Evo-Devo) concept has gained traction in the field of engineering design. This paper presents a new biologically inspired approach rooted in Evo-Devo principles to iteratively develop car chassis designs based on a specified design brief. The proposed method draws inspiration from biological cell growth and differentiation behaviours to generate intricate engineering designs. Employing evolutionary algorithms, the paper aims to evolve gene regulatory
networks that govern the growth of a minimal viable design. The primary goal is to achieve an optimal design capable of withstanding sudden crash impacts within safety limits. Comprehensive simulation results demonstrate that the proposed approach, using genetic algorithms, evolves gene regulatory networks that generate a spectrum of viable designs. Furthermore, the best evolved solution exhibits generalizability and adaptability across different simulation parameters.