Qualitative and Quantitative Airfoil Design Optimisation using Interactive Genetic Algorithms

Brintrup, Alexandra and Loiodice, Sabino (2007) Qualitative and Quantitative Airfoil Design Optimisation using Interactive Genetic Algorithms. In: Proceedings of Innovative Production Systems and Machines Conference, Cardiff University.

Abstract

This paper introduces the necessity of qualitative views on the evolutionary optimisation of airfoil shape design and applies multi-objective and parallel interactive genetic algorithms to combine qualitative evaluation with quantitative shape optimisation. The interactive evaluation enables user to embed domain specific knowledge which is frequently hard to describe. A comparison of the multi-objective and parallel IGA results is made using the fitness convergence, diversity and user preference performance metrics. Although the multi-objective IGA provides more diverse results the parallel IGA obtains significantly better fitness convergence and user preference. It is reported that the ability to vary population sizes and number of generations on separate population islands in parallel IGA is an ideal method to combine user guidance with computationally intensive search.

Item Type: Conference or Workshop Item (Paper)
Keywords: Interactive Genetic Algorithm, Multi-objective Optimisation, Parallel Genetic Algorithm, Airfoil Design
Subject(s): Complexity
Centre: CABDyN Complexity Centre
Date Deposited: 28 Nov 2011 11:13
Last Modified: 23 Oct 2015 14:06
URI: http://eureka.sbs.ox.ac.uk/id/eprint/1253

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