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 ...

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

The researchers collaborated with a team in South Korea, and applied what's known as the multi-objective Bayesian optimization machine learning algorithm. Its role was to predict the best possible ...

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 ...