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.
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.
