A Hybrid Direct Search and Model-Based Derivative-Free Optimization Method with Dynamic Decision Processing and Application in Solid-Tank Design

Round 1

Reviewer 1 Report

[1] Please discuss the motivation of your work compared with others.

[2] What are benefits of using hybrid direct search Algorithm than other algorithms in this work? Explain

[3] Literature review on other methods needs improvement. Use the following papers for different optimization algoritms.

[i] “Implementation of coyote optimization algorithm for solving unit commitment problem in power systems”, Energy, https://doi.org/10.1016/j.energy.2022.125697, vol.263, pp. 1-11, January  2023.

[i] “Optimal network restructure via improved whale optimization approach "International Journal of Communication Systems 34 (1), e4617, January 2021.

[ii] "Mine blast algorithm for environmental economic load dispatch with valve loading effect", Neural Comput & Applic, (2018) Vol. 30, pp. 261–270 .

[4] Increase the quality of your figures.

[5] Parameters of algorithm should be given.

[6] It is better to add statistical analysis.

[7] In general, the English language should be improved.

Author Response

please see attached

Author Response File: Author Response.pdf

Reviewer 2 Report

A hybrid direct search and model-based derivative-free optimization method with dynamic decision processing and application in solid tank design

1. Very interesting research entitled “A hybrid direct search and model-based derivative-free optimization method with dynamic decision processing and application in solid tank design”.

2. I suggest adapting the article to the suggested structure by algorithms-MDPI. (see attached file).

** Check "Microsoft Word template" from algorithms-MDPI.

      https://www.mdpi.com/files/word-templates/algorithms-template.dot

3. Several equations are not numbered. Check and correct.

4. Very good bibliography. 

I request to make all the corrections indicated and the corrections of the other reviewers.

Comments for author File: Comments.pdf

Author Response

please see attached

Author Response File: Author Response.pdf

Reviewer 3 Report

Nice and interesting paper, but there are some drawbacks in the material presentation.

Firstly, at the end of introduction there are no research goal formulation, therefore further description of the algorithm has no focus. This also brings weak conclusions, while there is no answer to the paper goal.

I would like to have a nomenclature table, while too many notations spread over the text and their explanation hard to catch. This possible to combine with abbreviation table.

Fig. 2 and 3 – legend covers significant part of solution output, please, fix it.

Conclusion. Please, clearly define proficiency and deficiency of provided algorithm based on your results, including founded limitations.

Author Response

please see attached

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

the revised paper can be accepted.

Reviewer 2 Report

Thank you for making the suggested corrections.