. 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
Major applications areas:
. 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
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.