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Multi-criteria Airfoil Design with Evolution Strategies

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 2632)


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.


  • Evolution Strategy
  • Pareto Front
  • Mutation Operator
  • High Lift
  • Wing Design

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  • DOI: 10.1007/3-540-36970-8_55
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© 2003 Springer-Verlag Berlin Heidelberg

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Willmes, L., Bäck, T. (2003). Multi-criteria Airfoil Design with Evolution Strategies. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Thiele, L., Deb, K. (eds) Evolutionary Multi-Criterion Optimization. EMO 2003. Lecture Notes in Computer Science, vol 2632. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01869-8

  • Online ISBN: 978-3-540-36970-7

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