Third M.I.T. Conference on Computational Fluid and Solid Mechanics June 14–17, 2005  

Genetic algorithm transformations for non-orthogonal models

R. Obiałaa, G.M. Seeda, B.H.V. Toppinga,*, P. Iványia, D.E.R. Clarkb
aSchool of Engineering and Physical Sciences, bSchool of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, Scotland, UK

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This paper describes a new method, using genetic algorithms, for transforming non-orthogonal geometric models into orthogonal polygon models. The algorithm is applied to a series of non-orthogonal models and the results compared with those obtained from a fuzzy logic approach [1]. A similarity measure is defined to assess and compare the success of the transformations.

Keywords:  Geometric modelling; Genetic algorithms; Transformation; Similarity; Fuzzy logic

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