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

This book presents improved and extended versions of selected papers from EUROGEN 2019,  a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.

Sommario

Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, etc.).- Multi-objective Evolutionary Algorithms and Constraint Handling Techniques.- Adjoint based and One-shot Methods.- Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, etc.).- High Performance Computing and GPUs based Optimisation Algorithms.- Goal oriented optimization for mesh and meshless methods.- Game Strategies.- Surrogate Models for Optimisation.- Parallel and distributed Evolutionary Algorithms (from LANs to GRID).- Multi-disciplinary Optimization Methods.- Design Optimisation under Uncertainties.- Multi-criteria Decision Making.- Topology Optimization.- Aeronautics, Aerospace, and Space.- Agriculture and Food Production.- Automotive.- Bio Engineering and Medicine.- CAD and Manufacturing.- Civil and Structural Engineering.- Economics and Finance .- Electromagnetics.-Electronics.- Energy, including Renewable Energy.- Environment.- Genetics.- Material Science and Technology.- Offshores, Coastal and Marine Engineering and Operations.- RAMS Analysis.- Risk Analysis.- Smart Materials and Structures.- Social Sciences and Politics.- Telecommunications. 

Dettagli sul prodotto

• Con la collaborazione di: Kyriakos C Giannakoglou et al (Editore), António Gaspar-Cunha (Editore), Nicolas R. Gauger (Editore), Kyriakos C. Giannakoglou (Editore), David Greiner (Editore), Jacque Periaux (Editore), Jacques Periaux (Editore), Domenico Quagliarella (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 08.12.2021
• EAN: 9783030574246
• ISBN: 978-3-0-3057424-6
• Pagine: 435
• Dimensioni: 155 mm x 24 mm x 235 mm
• Illustrazioni: XI, 435 p. 221 illus., 172 illus. in color.
• Serie: Computational Methods in Applied Sciences
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie