Evolutionary Algorithms, Game Theory and Hierarchical Models in CFD

摘要

This paper details some current extensions to Evolutionary Algorithms (EAs) using 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 using Nash games, multiple 1D nozzle reconstruction, 2D nozzle reconstruction using multiple models and asynchronous evaluation, and 2D multiobjective nozzle reconstruction using 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.