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

Algorithmic topics:

. 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