Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control

This book presents recent advances in evolutionary and deterministic methods for design, optimization, and control in real-world engineering. Topics include multi-objective optimization, machine learning, shape and topology design, and uncertainty quantification. It features selected contributions from EUROGEN 2025, held at LUT University in Lahti, Finland, from September 16-18, 2025. This book serves as a timely reference for researchers, engineers, and graduate students in computational design and applied optimization.