Premium
Space mapping algorithm with improved convergence properties for microwave design optimization
Author(s) -
Koziel Slawomir,
Bandler John W.
Publication year - 2010
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20426
Subject(s) - space mapping , convergence (economics) , algorithm , microwave , space (punctuation) , computer science , mathematical optimization , function (biology) , optimization algorithm , mathematics , telecommunications , evolutionary biology , economics , biology , economic growth , operating system
Abstract Space mapping is one of the most efficient techniques for microwave design optimization. Still, it is well known that space mapping algorithms may suffer from convergence issues, which are consequences of certain fundamental features. In many cases, the space mapping algorithm quickly finds an acceptable solution, but then falls into oscillations with respect to the design variables and/or the objective function value; as a consequence, there are no clear criteria for terminating the optimization process. In this article, we investigate some techniques for improving the convergence properties of the space mapping algorithm, which are based on the general convergence results for such algorithms. Our approach is verified using several microwave design optimization problems. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.