Optimization of Microwave Networks by Razor Search

MacDonald, Peter

doi:10.1109/gmtt.1969.1122722

Cited by 11 publications

(12 citation statements)

References 14 publications

(26 reference statements)

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“…2, have been optimized over a loo-percent bandwidth. These test problems were introduced in [3]. The residualsfj have been correspondingly defined as fj(Z) = 3lPj(&)l"9 j = 1,2;**,11 (18) Characteristic impedances Z and electrical lengths 0 (radians at center frequency).…”

Section: Numerical Results a Comparison With Other Algorithms Cmentioning

confidence: 99%

“…However, these methods may fail to converge if certain singularities are present. Bandler et al have developed an algorithm not requiring derivatives [3] and also an algorithm which uses gradient information of one of more of the highest ripples in the response error function [4]. Recent work by Bandler and Charalambous [S], [6] used at least pth approach together with a gradient optimization algorithm to provide minimax solutions.…”

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confidence: 99%

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Automated minimax design of networks

Madsen

Schjær-Jacobsen

Voldby

1975

IEEE Trans. Circuits Syst.

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Section: Numerical Results a Comparison With Other Algorithms Cmentioning

confidence: 99%

mentioning

confidence: 99%

Automated minimax design of networks

Madsen

Schjær-Jacobsen

Voldby

1975

IEEE Trans. Circuits Syst.

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“…One of the earliest papers on the area of optimization methods for microwave circuits was Bandler and Macdonald's work [33], [34]. A classical paper on the analysis part of microwave circuits in computer aided design was introduced by Monaco and Tiberio [35].…”

Section: B Microwave Modelsmentioning

confidence: 99%

Core Levels Algorithm for Optimization: Case of Microwave Models

Haydar¹,

Ülker²,

Dimililer³

et al. 2017

ijacsa

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Abstract-Metaheuristic algorithms are investigated and used by many researchers in different areas. It is crucial to find optimal solutions for all problems under study especially for the ones which require sensitive optimization. Especially, for real case problems, solution quality and convergence speed of the algorithms are highly desired characteristics. In this paper, a new optimization algorithm called Core Levels Algorithm (COLA) based on the use of metaheuristics is proposed and analyzed. In the algorithm, two core levels are applied recursively to create new offsprings from the parent vectors which provides a desired balance on the exploration and exploitation characteristics. The algorithm's performance is first studied on some well-known benchmark functions and then compared with previously proposed efficient evolutionary algorithms. The experimental results showed that even at the early stages of optimization, obtained values are very close or exactly the same as the optimum values of the analyzed functions. Then, the performance of COLA is investigated on real case problems such as some selected microwave circuit designs. The results denoted that COLA produces stable results and provides high accuracy of optimization without high parameter dependency even for the real case problems.

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“…Classical transformers consist of a cascade of uniform transmission line sections which are a quarter wave long at the central frequency of the matching band. Other methods to design multisection transformers consisting of uniform or nonuniform transmission line sections are dealt with in [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

An Exact Synthesis Method for Dual-Band Chebyshev Impedance Transformers

Castaldi¹,

Fiumara²,

Gallina³

2008

PIER

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Abstract-We propose an exact synthesis method which allows the design of dual-band transformers with an arbitrary even number of uniform sections giving equi-ripple impedance matching in two separate bands centered at two arbitrary frequencies. This method is a generalization of the exact Collin-Riblet synthesis of Chebyshev single-band transformers. As compared to a single-band Collin-Riblet transformer encompassing both required passbands, the proposed design yields significantly better performance in terms of passband tolerance and width.

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Optimization of Microwave Networks by Razor Search

Cited by 11 publications

References 14 publications

Automated minimax design of networks

Automated minimax design of networks

Core Levels Algorithm for Optimization: Case of Microwave Models

An Exact Synthesis Method for Dual-Band Chebyshev Impedance Transformers

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