Impact of the Material Distribution Formalism on the Efficiency of Evolutionary Methods for Topology Optimization
We consider an evolutionary method applied to a topology optimization problem. We compare two material distribution formalisms (static vs. Voronoibased dynamic), and two sets of reproduction mechanisms (standard vs. topologyadapted). We test those four variants on both theoretical and practical test cases, to show that the Voronoi-based formalism combined with adapted reproduction mechanisms performs better and is less sensitive to its parameters.
Unable to display preview. Download preview PDF.
- 4.Denies J., Ben Ahmed H., Dehez B. (2009) Design of a ferrofluid micropump using a topological optimization method, Proc. of ElectromotionGoogle Scholar
- 5.Deb K., Agrawal S., Pratab A., Meyarivan T. (September 2000) A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multiobjective Optimization : NSGA II, Proc. PPSN VI, 849-858.Google Scholar
- 7.Schoenauer M. (March 1996) Shape representations and evolution schemes, Proc. of the 5th Annual Conference on Evolutionary Programming, San Diego.Google Scholar
- 9.Skiena, S. S. (1997) Voronoi Diagrams 8.6.4 in The Algorithm Design Manual. New York, Springer-Verlag, pp. 358–360.Google Scholar
- 10.Schoenauer M, Jouve F, Leila K (1997) Identification of mechanical inclusions, Evolutionary Computation in Engeneering, pp.477-494Google Scholar
- 11.Dehez B., Denies J., Ben Ahmed H. (September 2008) Design of electromagnetic actuators using optimizing material distribution methods, Proc. of Int. Conf. on Electrical Machines, Vilamoura (Portugal), ISBN: 978-1-4244-1736-0.Google Scholar
- 12.COMSOL Multiphyics 3.5a ®, http://www.comsol.com