multi-objective optimization and applications of optimization in machine learning. Stanislaw H. Żak, PhD, is a professor in the Elmore Family School of Electrical and Computer Engineering at Purdue ...

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

Northwestern Engineering researchers have developed a new framework using machine learning that improves ... platform minimizes user intervention by employing multi-objective genetic algorithm ...

The KAIST team employed the multi-objective Bayesian optimization machine learning algorithm. This algorithm learned from simulated geometries to predict the best possible geometries for enhancing ...

“Machine learning is normally very data intensive, and it’s difficult to generate a lot of data when you’re using high-quality data from finite element analysis. But the multi-objective Bayesian ...

multi-objective optimization, optimization for machine learning, deep learning and optimization, machine learning for optimization, optimization and learning under uncertainty, etc. More information ...