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Optimization of microwave devices combining topology gradient and genetic algorithm

✍ Scribed by Atousa Assadihaghi; Stéphane Bila; Dominique Baillargeat; Michel Aubourg; Serge Verdeyme; Christelle Boichon; Jérôme Puech; Luc Lapierre

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
426 KB
Volume
18
Category
Article
ISSN
1096-4290

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✦ Synopsis

Topology optimization can be seen as optimizing a distribution of small topological elements within a domain with respect to given specifications. A numerical topology gradient (TG) algorithm is applied in the context of electromagnetism for optimizing microwave devices, computing the sensitivity on adding or removing small metallic elements. This method leads to an optimum topology with very little initial information in acceptable time consumption. The method is applied to the design of a microstrip component in which the topology gradient is directly used as a direction of descent. However, in some ill-behavior problems, topology gradient is not sufficient to converge to the global optimum. In the latter case, the basic TG is coupled with a genetic algorithm (GA) to make a more suitable algorithm for solving local optima problems. V

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