Open AccessRapid multi‐objective design optimisation of compact microwave couplers by means of physics‐based surrogates
Author(s) -
Koziel Slawomir,
Bekasiewicz Adrian,
Kurgan Piotr,
Bandler John W.
Publication year - 2016
Publication title -
iet microwaves, antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.555
H-Index - 69
eISSN - 1751-8733
pISSN - 1751-8725
DOI - 10.1049/iet-map.2015.0279
Subject(s) - space mapping , pareto principle , iterated function , surrogate model , multi objective optimization , representation (politics) , mathematical optimization , microwave , set (abstract data type) , fidelity , computer science , engineering design process , evolutionary algorithm , process (computing) , algorithm , mathematics , engineering , mechanical engineering , mathematical analysis , telecommunications , politics , political science , law , programming language , operating system
The authors introduce a methodology for fast multi‐objective design optimisation of miniaturised microwave couplers. The approach exploits the surrogate‐based optimisation paradigm with an underlying low‐fidelity model constructed from an equivalent circuit of the structure under consideration, corrected through implicit and frequency space mapping. A fast prediction tool obtained this way is subsequently optimised by a multi‐objective evolutionary algorithm to identify an initial approximation of the Pareto front, that is, a set of designs representing the best possible trade‐offs between conflicting objectives. The correction/optimisation of the surrogate is then iterated by design space confinement and segmentation based on a Pareto set representation obtained thus far in the process. This aims at improving the surrogate model accuracy in the vicinity of the Pareto‐optimal solutions. The technique is demonstrated by two design examples of compact rat‐race couplers. Experimental validation is also provided.