Application of the Tomtit Flock Metaheuristic Optimization Algorithm to the Optimal Discrete Time Deterministic Dynamical Control Problem
Round 1
Reviewer 1 Report
Comments for author File: 
Comments.pdf
Author Response
Please see the attachment
Author Response File: Author Response.pdf
Reviewer 2 Report
The current paper proposes a new bio-inspired metaheuristic optimization algorithm. The algorithm uses a model of the behavior of tomtits during the search for food. This algorithm combines some techniques for finding the extremum of the objective function, such as the memory matrix and the Levy flight from the cuckoo algorithm. The theory is validated using simulations.
Comments to authors:
- Please add more details of how the theory from the first sections is applied in the results section.
- The authors can add the steps of implementing the algorithm. The theoretical part can be better detailed. The steps will be in the benefit of the readers, maybe they’ll help the readers to implement the proposed algorithm.
- Define and detail all the parameters of the optimization algorithm and detailed how the practitioner should chose them, maybe a table with all the parameters can be added.
- Add the both the advantages and the disadvantages of the proposed method, in the current version of the paper only the advantages are presented.
- Add the measurement units labels for abscissa and ordinate for all the figures from the paper.
- The state of the art it is very poor regarding representative papers, maybe the author could add the following publications:
o Hybrid Data-Driven Fuzzy Active Disturbance Rejection Control for Tower Crane Systems, European Journal of Control, vol. 58, pp. 373-387-11, 2021.
o Enhanced P-type Control: Indirect Adaptive Learning from Set-point Updates, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2022.3154347, 2022.
- Some of the figures and tables doesn’t respect the template format, please readjust them.
Author Response
Please see the attachment
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
The authors answered to all my concerns. From my point of view the paper can be accepted to be published in Algorithms Journal.
