1 code implementation • 30 May 2023 • Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
Expert evaluations indicate that the LLM-generated solutions have higher average feasibility and usefulness while the crowdsourced solutions have more novelty.
no code implementations • 16 May 2023 • Shahroz Khan, Panagiotis Kaklis, Kosa Goucher-Lambert
However, the SAEM and AEM produce better-performing designs.
no code implementations • 29 Apr 2023 • Shahroz Khan, Kosa Goucher-Lambert, Konstantinos Kostas, Panagiotis Kaklis
In this work, we introduce ShipHullGAN, a generic parametric modeller built using deep convolutional generative adversarial networks (GANs) for the versatile representation and generation of ship hulls.