Evolutionary Algorithms, game theory and hierarchical models in CFD

This paper details some current extensions to Evolutionary Algorithms (EAs) rising concepts from game theory, as well as multiple-model and asynchronous computing. Some optimization case-studies are presented, which indicate the robustness and broad applicability of the method. These cases are 2D multi-element aerofoil reconstruction rising Nash games, multiple ID nozzle reconstruction, 2D nozzle reconstruction using multiple models and asynchronous evaluation, and 2D multiobjective nozzle reconstruction rising Pareto techniques. In each case it is shown that application of the extensions provide often significant gains in speed when compared to the traditional EA framework.