Optimisation algorithms form the backbone of modern engineering design, enabling automated search for optimal configurations under complex physical, structural and performance constraints. Broadly ...

Aiming at the problems of insufficient ability of artificial COA in the late optimization search period, loss of population diversity, easy to fall into local extreme value, resulting in slow ...

A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...

The goal of engineering design is to address physical needs using practical, analytical, and technical skills to develop robust, efficient, and appropriate solutions. Unlike many of the calculations ...

MIT engineers trained several AI models on thousands of bicycle frames, sourced from a dataset of full bicycle designs, shown here color-coded by bike style. ChatGPT and other deep generative models ...