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

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.