Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks during Optimization
, Khouloud Eledlebi 2, Hanno Hildmann 3, Lucas Culley 1 and A. F. Isakovic 1,*Round 1
Reviewer 1 Report
Dear Authors,
congratulations on a good article.
The article concerns the analysis of the temporal network and the evolution of the network characteristics over time. In particular, it showed how it is possible to use temporal network graphs and network centrality and regularity measures to balance energy andtime efficiency in network coverage.
The article was written in a manner characteristic of scientific works. The structure, the quoted equations and the proposed research methodology do not raise any objections. The method of presenting the results and the bibliographic used are correct.
The only request is to improve the quality of the drawings - especially Figure 5. As well as the font sizes in Figure 8.
Author Response
We thank Reviewer 1 on the feedback, and we report on the requested changes in the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Below are some of my comments and suggestions.
1. It is essential to make sure that the manuscript reads smoothly- this definitely helps the reader fully appreciate your research findings.
2. It seems that the authors missed recent relevant references. They did not review the state-of-the-art methods published in relative journals or conferences recently (within 2-5 years).
3. What is the idea behind the used genetic algorithm? Why do not authors use the other algorithms such as the PSO, ACO, or DE? Please clarify this. It is necessary to implement several popular algorithms and compare the results of their algorithms with each other.
4. Please add a section and completely discuss the disadvantages of the existing approaches and advantages of the proposed approach.
5. The simulation results are poor. Compare proposed algorithm with other recently proposed algorithms.
6. Figure 5 does not have good quality. Its quality needs to be increased.
Author Response
We thank Reviewer 2 on several useful remarks and requests. We believe our attached replies to these improved the quality of the manuscript, and we stay available to further elaborate on any issues Reviewer 2 or Editorial Office might have.
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
This paper should be accepted in its present form.
