A space-mapping framework for engineering optimization - Theory and implementation

Slawomir Koziel, John W. Bandler, Kaj Madsen

Rannsóknarafurð: Framlag til fræðitímaritsGreinritrýni

268 Tilvitnanir (Scopus)

Útdráttur

This paper presents a comprehensive approach to engineering design optimization exploiting space mapping (SM). The algorithms employ input SM and a new generalization of implicit SM to minimize the misalignment between the coarse and fine models of the optimized object over a region of interest. Output SM ensures the matching of responses and first-order derivatives between the mapped coarse model and the fine model at the current iteration point in the optimization process. We provide theoretical results that show the importance of the explicit use of sensitivity information to the convergence properties of our family of algorithms. Our algorithm is demonstrated on the optimization of a microstrip bandpass filter, a bandpass filter with double-coupled resonators, and a seven-section impedance transformer. We describe the novel user-oriented software package SMF that implements the new family of SM optimization algorithms.

Upprunalegt tungumálEnska
Númer greinar1705692
Síður (frá-til)3721-3730
Síðufjöldi10
FræðitímaritIEEE Transactions on Microwave Theory and Techniques
Bindi54
Númer tölublaðs10
DOI
ÚtgáfustaðaÚtgefið - okt. 2006

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