Multi-criteria airfoil design with evolution strategies

Authors:
Lars Willmes;Thomas Bäck
Affiliations:
NuTech Solutions GmbH, Dortmund, Germany;NuTech Solutions GmbH, Dortmund, Germany and Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands
Venue:
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Year:
2003

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Multi-Objective Optimization Using Evolutionary Algorithms

Multi-Objective Optimization Using Evolutionary Algorithms
A derandomized approach to self-adaptation of evolution strategies

Evolutionary Computation

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Abstract

In this paper we will describe the optimisation of a two-criteria wing-design problem where calculation of the objective function requires the solution of the two-dimensional Navier-Stokes equations. It will be shown that basic concepts of the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and the Non dominated Sorting Genetic Algorithm II (NSGA-II) work well with Evolution Strategies. Results for the wing design problem are presented for the selection operators of SPEA2 and NSGA-II in combination with three different mutation operators. These results are compared with results found by a multi-objective Genetic Algorithm.