Artificial Bee Colony Algorithm with Pareto-Based Approach for Multi-Objective Three-Dimensional Single Container Loading Problems
Round 1
Reviewer 1 Report
In this work, the authors propose the novel mathematical model and Artificial Bee Colony Algorithm (ABC) combined with Pareto-based Approach to solve the single-container loading problems. The goal is to fit a set of boxes with a strongly heterogeneous boxes into a container with a specific dimension to minimize the broken space and maximize profits.
Unfortunately, the organizational structure of the paper is disorganized or even incomplete. It is suggested to revise and submit it again.
Author Response
In conclusion, I am immensely grateful for your support and guidance throughout the revision process. Your feedback has been instrumental in shaping the final version of my manuscript, and I am confident that it is now stronger and more impactful.
Once again, thank you for your invaluable feedback and suggestions. Your expertise and dedication to helping authors improve their work are truly appreciated, and I look forward to continuing to work with you in the future. Please see the attached file for a point-by-point response to the reviewer's comments.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The article discusses the container shortage crisis faced by the freight forwarding industry and how companies have had to implement adaptive measures to maintain operational efficiency. A novel mathematical model and Artificial Bee Colony Algorithm (ABC) combined with a Pareto-based Approach is proposed to solve the single-container loading problems in a way that minimizes broken space and maximizes profits. The results suggest that the proposed algorithm is effective in solving real-world single-container loading problems for freight forwarding companies. The study's reliability and validity the findings must be ensured by addressing certain concerns, despite its interesting coverage of multiple research fields.
1. To enhance the clarity of the findings, it is suggested to explicitly mention the names of the comparative methods used to evaluate the proposed algorithm in the abstract. Additionally, providing specific performance metrics with statistical numbers can improve the presentation of the results.
2. “This article presents the advantages of using the Artificial Bee Colony Algorithm with a Pareto-based Approach for solving NP-Hard problems such as the single container loading problem.” What is the purpose of writing this text before the abstract?
3. “This research relevant to the rotation of boxes into containers is important for improving the efficiency and effectiveness of shipping, reducing transportation costs, and minimizing environmental impact.” rewrite the second objective with respect to the underlined problem solved (lines 68 and 69).
4. I suggest either adding a few relevant similar works in the introduction or introducing a separate section for literature review to set the problem background of the presented work.
5. Figure 1 is missing.
6. Section number is missing for “Experiment C”.
7. In the results section, please specify the highest values obtained by the functions described in Tables 6 to 8, as well as the most significant improvements achieved as presented in Tables 10 to 14. Additionally, please include statistical analyses to support the results.
8. Rename “Section 6” to “Conclusion” and future direction in conclusion.
9. The manuscript would benefit from improvements in academic writing style and should be thoroughly checked for any typographical or grammatical errors.
10. Consider adding a few latest related articles in the introduction/literature section to set the background of your work between 2020 to 2023 including the given below.
Yan, X., Wang, G., Jiang, K., Kou, Z., Wang, K. and Zhang, L., 2023. Multi-Objective Scheduling Strategy of Mine Transportation Robot Based on Three-Dimensional Loading Constraint. Minerals, 13(3), p.431.
Rana, N., Abd Latiff, M.S., Abdulhamid, S.I.M. and Misra, S., 2022. A hybrid whale optimization algorithm with differential evolution optimization for multi-objective virtual machine scheduling in cloud computing. Engineering Optimization, 54(12), pp.1999-2016.
Rana, N., Latiff, M.S.A., Abdulhamid, S.I.M. and Chiroma, H., 2020. Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments. Neural Computing and Applications, 32, pp.16245-16277.
Comments for author File: Comments.pdf
Author Response
In conclusion, I am immensely grateful for your support and guidance throughout the revision process. Your feedback has been instrumental in shaping the final version of my manuscript, and I am confident that it is now stronger and more impactful.
Once again, thank you for your invaluable feedback and suggestions. Your expertise and dedication to helping authors improve their work are truly appreciated, and I look forward to continuing to work with you in the future. Please see the attached file for a point-by-point response to the reviewer's comments.
Author Response File: Author Response.pdf
Reviewer 3 Report
The paper propsoes artificial bee colony algorithm with pareto-based approach for multi-objective three-dimensional single container loading Problems. (1) Pareto has been a very classic optimization performance improvement mode for optimization analysis. (2) In the literature section, there has been a review on the packing problem. Adding a review on heuristic algorithms for optimization problems, and other optimization reviews similar to the knapsack problem. (3) In the experiment section, there has been case analysis, and it is recommended to use an open dataset for comparative analysis.
Author Response
In conclusion, I am immensely grateful for your support and guidance throughout the revision process. Your feedback has been instrumental in shaping the final version of my manuscript, and I am confident that it is now stronger and more impactful.
Once again, thank you for your invaluable feedback and suggestions. Your expertise and dedication to helping authors improve their work are truly appreciated, and I look forward to continuing to work with you in the future. Please see the attached file for a point-by-point response to the reviewer's comments.
Author Response File: Author Response.pdf
Round 2
Reviewer 3 Report
The artificial bee colony algorithm with pareto-based approach for multi-objective problems is a very classic optimization method. The paper should provide convincing cases and compare them with typical solving algorithms to verify their effectiveness.
Author Response
Dear reviewer,
I hope this message finds you well. I wanted to take a moment to express my sincere appreciation for the time and effort you put into reviewing my manuscript. Your comments and recommendations were invaluable in helping me to improve the quality of my work, as this manuscript was an essential component of my graduation requirements. Your detailed and thoughtful feedback has given me a better understanding of the strengths and weaknesses of my work. I have taken your suggestions to heart as I revise and refine my manuscript. I am grateful for your expertise and professionalism. Your comments have been instrumental in shaping my work, and your suggestions have helped me to see it from a new perspective. I am confident that my manuscript will be stronger and more compelling as a result.
I have revised the manuscript according to your suggestions and have sent it to you. I kindly request that you reconsider the manuscript for publication. Please see the attachment.
Author Response File: Author Response.pdf
Round 3
Reviewer 3 Report
The manuscript can be accepted in present form
Author Response
Dear Reviewer,
Thank you for your positive evaluation and stating that "The manuscript can be accepted in present form." We appreciate your feedback and will promptly submit the revised manuscript for final acceptance.
Sincerely,
