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.