Multi-Constraint Optimized Planning of Tasks on Virtualized-Service Pool for Mission-Oriented Swarm Intelligent Systems
Round 1
Reviewer 1 Report
The article discusses the important and modern issue of cooperation of swarm particles. The related works, conception and methodology are well prepared. Figures and tables are readable. However the discussion of achieved results should be better prepared.
Author Response
Dear Reviewer,
Thanks very much for your letter and the instructive review comments on our revised manuscript (“Multi-Constraint Optimized Planning of Tasks on Virtualized-Service Pool for Mission-Oriented Swarm Intelligent Systems”, applsci-528486) submitted to Transactions on Intelligent Transportation Systems.
After carefully studying the reviewers’ comments, we have revised the manuscript accordingly. Our detailed responses to the comments are attached.
Thank you very much!
Sincerely yours,
Kailong Zhang
July, 2019
Author Response File: Author Response.pdf
Reviewer 2 Report
The authors propose one new task planning mechanism with multiple constraints to solve such dynamic programming problem. The current reviewer has some generic remarks discussed as follows.
1. Why a Service Pool model has been used instead of other alternative possible models?
2. Why a Genetic Algorithm has been used instead of other alternative possible algorithms?
3. the reviewer fails to see the detailed analysis of the optimization and how one can set the tolerance value, and initial parameters.
Author Response
Dear Reviewer,
Thanks very much for your letter and the instructive review comments on our revised manuscript (“Multi-Constraint Optimized Planning of Tasks on Virtualized-Service Pool for Mission-Oriented Swarm Intelligent Systems”, applsci-528486) submitted to Transactions on Intelligent Transportation Systems.
After carefully studying the reviewers’ comments, we have revised the manuscript accordingly. Our detailed responses to the comments are attached.
Thank you very much!
Sincerely yours,
Kailong Zhang
July, 2019
Author Response File: Author Response.pdf
Reviewer 3 Report
There is a lack of information regarding the simulation platform where the proposal was implemented.
The literature presents more solutions that could be evaluated and compared to highlight the advantages of the proposal with respect to other solutions.
The conclusions are very short. The analysis of the conclusions of the article must be increased and deepened.
Author Response
Dear Reviewer,
Thanks very much for your letter and the instructive review comments on our revised manuscript (“Multi-Constraint Optimized Planning of Tasks on Virtualized-Service Pool for Mission-Oriented Swarm Intelligent Systems”, applsci-528486) submitted to Transactions on Intelligent Transportation Systems.
After carefully studying the reviewers’ comments, we have revised the manuscript accordingly. Our detailed responses to the comments are attached.
Thank you very much!
Sincerely yours,
Kailong Zhang
July, 2019
Author Response File: Author Response.pdf
Round 2
Reviewer 3 Report
The article has been improved according to the recommendations sent.
Regards