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Strategies for computationally feasible multi-objective simulation-driven design of compact RF/microwave components

Slawomir Koziel, Adrian Bekasiewicz

Engineering Computations

ISSN: 0264-4401

Article publication date: 7 March 2016

152

Abstract

Purpose

Strategies for accelerated multi-objective optimization of compact microwave and RF structures are investigated, including the possibility of exploiting surrogate modeling techniques for electromagnetic (EM)-driven design speedup for such components. The paper aims to discuss these issues.

Design/methodology/approach

Two algorithmic frameworks are described that are based on fast response surface approximation models, structure decomposition, and Pareto front refinement. Numerical case studies are provided demonstrating feasibility of solving real-world problems involving multi-objective optimization of miniaturized microwave passives and expensive EM-simulation models of such structures.

Findings

It is possible, through appropriate combination of the surrogate modeling techniques and response correction methods, to identify the set of alternative designs representing the best possible trade-offs between conflicting design objectives in a realistic time frame corresponding to a few dozen of high-fidelity EM simulations of the respective structures.

Research limitations/implications

The present study sets a direction for further studied on expedited optimization of computationally expensive simulation models for miniaturized microwave components.

Originality/value

The proposed algorithmic framework proved useful for fast design of microwave structures, which is extremely challenging when using conventional methods. To the authors’ knowledge, this is one of the first attempts to surrogate-assisted multi-objective optimization of compact components at the EM-simulation level.

Keywords

Citation

Koziel, S. and Bekasiewicz, A. (2016), "Strategies for computationally feasible multi-objective simulation-driven design of compact RF/microwave components", Engineering Computations, Vol. 33 No. 1, pp. 184-201. https://doi.org/10.1108/EC-03-2015-0067

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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