Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control
Proceedings of EUROGEN 2025
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Beschreibung
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.
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.
Combines evolutionary and deterministic methods to solve complex engineering problems Presents proven optimization methods that engineers can apply to real problems Brings together complementary optimization approaches
Autor*in
Jari Hämäläinen
Themen in »Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control«
Surrogate Modeling Shape Optimization Multi-fidelity Methods Uncertainty Quantification Adjoint Methods Operator Theory Evolutionary Computation Control Design Meshless Methods Reduced Order Models