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Open AccessArticle
Peer-Review Record

Parameter Extraction for Equivalent Circuit Model of RF Devices Based on a Hybrid Optimization Method

Electronics 2019, 8(10), 1133; https://doi.org/10.3390/electronics8101133
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Electronics 2019, 8(10), 1133; https://doi.org/10.3390/electronics8101133
Received: 6 September 2019 / Revised: 27 September 2019 / Accepted: 28 September 2019 / Published: 8 October 2019
(This article belongs to the Section Circuit and Signal Processing)

Round 1

Reviewer 1 Report

The manuscript deals with a hybrid optimization technique that combine the advantages of two algorithms: GA and Powell. The aim is to increase the convergence speed in the extraction of circuit elements, that model inductor and capacitor elements. The combination of these two algorithms is well known as reported in [A]. In addition, the circuit topologies used to model both passive elements considered in the manuscript are already proposed. As consequence the novelty of the manuscript does not emerge clearly and, in the Reviewer’s opinion, does not contain sufficient novel material to justify publication.

In section 3, Authors state that the initial population is composed by 500 (or 1000) individuals but is not so clear how they make this choice. More details should be provided in order to better understand the proposed technique.

By looking at figure 4, I would have expected to see that the hybrid GA-Powell and pure GA with population of 500 give the same results in the first iterations. This is not true by looking at the graphs. Authors should comment on this aspect. Same considerations are valid for figure 8.

Experimental results of Figures 5 and 9 show that solution provided with hybrid GA-Powell is very similar to the one provided by pure GA with population of 1000. This means that both algorithms are able to find an accurate solution, of course at different rates. In this sense, maybe this is not the best example to show the other advantages of the proposed technique.

 

[A] Jun Wang, Andrew Kusiak, “Computational Intelligence In Manufacturing Handbook” , CRC press, December 2000.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The title must be in accordance with the content, so the word "RF devices" must be included.

The literature is inadequate. The authors must perform an in-depth literature survey for registering the corresponding already perform efforts and to include in the list of references.

 

A detailed comparison Table must be established in order to be evident the contribution made by the authors.

 

The limitations of the proposed method must be discussed.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

My comments have been fully addressed by the authors.

Author Response

Once again, we would like to thank you for spending time and efforts on this reviewing process!

Sincerely yours,

Zhimin Guan, Peng Zhao, Qizhong Lao, Xianbing Wang, and Gaofeng Wang

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