Robust handling of non-linear constraints for GA optimization of aerodynamic shapes

A new approach to the robust handling of non‐linear constraints for GAs (genetic algorithms) optimization is proposed. A specific feature of the approach consists of the change in the conventional search strategy by employing search paths which pass through both feasible and infeasible points (contr...

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Veröffentlicht in:International journal for numerical methods in fluids 2004-08, Vol.45 (12), p.1339-1362
Hauptverfasser: Peigin, S., Epstein, B.
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container_title International journal for numerical methods in fluids
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creator Peigin, S.
Epstein, B.
description A new approach to the robust handling of non‐linear constraints for GAs (genetic algorithms) optimization is proposed. A specific feature of the approach consists of the change in the conventional search strategy by employing search paths which pass through both feasible and infeasible points (contrary to the traditional approach where only feasible points may be included in a path). The method (driven by full Navier–Stokes computations) was applied to the problem of multiobjective optimization of aerodynamic shapes subject to various geometrical and aerodynamic constraints. The results demonstrated that the method retains high robustness of conventional GAs while keeping CFD computational volume to an acceptable level, which allowed the algorithm to be used in a demanding engineering environment. Copyright © 2004 John Wiley & Sons, Ltd.
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source Wiley Online Library Journals Frontfile Complete
subjects aerodynamic design
Aerodynamics
Applied fluid mechanics
Computational methods in fluid dynamics
constrained optimization
Exact sciences and technology
Fluid dynamics
Fundamental areas of phenomenology (including applications)
genetic algorithms
Navier-Stokes solutions
Physics
title Robust handling of non-linear constraints for GA optimization of aerodynamic shapes
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