Major Application Areas

• Aeronautics
• Bio Engineering and Medicine
• Dependability
• Electromagnetics
• Electronics
• Energy
• Environment
• Games
• Manufacturing
• Paper Making
• Systems
• Statistical Shape Analysis
• Stochastics
• Transport
• Turbomachinery

Algorithmic topics

• Evolutionary algorithms (including Evolutionary programming, Evolution Strategies and Genetic Algorithms)
• Multi-objective evolutionary algorithms and constraint handling technics
• Hybridization with standard optimization tools (gradient based methods, combinatorial optimization methods)
• Response Surface methods and other embeddings of Machine learning technics.
• Parallel and distributed Evolutionary Algorithms (from LANs to GRID)
• Multi-disciplinary optimization methods
• Design with uncertainties
• Economic and Social simulations
• Multi criteria decision making tools.
• Adjoint methods and one shot methods