NDLI: Rapid multi-objective design optimisation of compact microwave couplers by means of physics-based surrogates

Content Provider	IET Digital Library
Author	Koziel, Slawomir Bekasiewicz, Adrian Kurgan, Piotr Bandler, John W.
Abstract	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.
Starting Page	479
Ending Page	486
Page Count	8
ISSN	17518725
Volume Number	10
e-ISSN	17518733
Issue Number	Issue 5, Apr (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-map/10/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-map.2015.0279
Journal	IET Microwaves, Antennas & Propagation
Publisher Date	2016-04-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Compact Microwave Couplers Compact Rat-race Couplers Design Space Confinement Equivalent Circuit Evolutionary Computation Frequency Space Mapping Initial Approximation Interpolation And Function Approximation Microwave Circuit And Device Microwave Passive Circuit Miniaturised Microwave Couplers Multiobjective Evolutionary Algorithm Numerical Analysis Optimisation Technique Pareto Front Pareto Set Representation Passive Filter Passive Network Physics Based SurroGate Rapid Multiobjective Design Optimisation Surrogate Based Optimisation Paradigm
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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