Combination of Natural and Numerical Optimization Methods at the Example of an Internal Gas Turbine Cooling Channel

Authors:
Helga Steinbrück;Sebastian Zehner;Bernhard Weigand;Sven Olaf Neumann
Affiliations:
Institut für Thermodynamik der Luft--- und Raumfahrt, Universität Stuttgart, Stuttgart 70569;Institut für Thermodynamik der Luft--- und Raumfahrt, Universität Stuttgart, Stuttgart 70569;Institut für Thermodynamik der Luft--- und Raumfahrt, Universität Stuttgart, Stuttgart 70569;Institut für Thermodynamik der Luft--- und Raumfahrt, Universität Stuttgart, Stuttgart 70569
Venue:
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Year:
2008

Citing 2
Cited 0

Multi-Objective Optimization Using Evolutionary Algorithms

Multi-Objective Optimization Using Evolutionary Algorithms
Genetic Algorithms and Evolution Strategies - Similarities and Differences

PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature

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Abstract

Iceformation phenomena can be observed in many natural and technical processes. A naturally grown ice layer aspires in steady state to a minimum of energy dissipation. Driven by this goal, this phenomena can be used to optimize complex geometric configurations in a natural manner. But since this state of minimum energy dissipation is seldom the desired goal function in technical applications, this natural experimental optimization method is combined with a subsequent classical numerical optimization using evolutionary algorithms at the example of an internal cooling channel of a gas turbine blade.