Evaluating NSGA-III : A Comprehensive Study on Multi-objective Optimization

Authors

  • Ms. Shilpi Jain  Assistant Professor, Department of Mathematics, ARSD College, University of Delhi, Delhi, India
  • Prof Kamlesh Kumar Dubey  Professor, Department of Applied Science and Humanities, Invertis University, Bareilly, India
  • Dr. Madhur Jain  Assistant Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology, Delhi, India
  • Divyansh Rampal  Student, Department of Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India

DOI:

https://doi.org/10.32628/CSEIT2390523

Keywords:

Multi-objective Optimization, NSGA-III

Abstract

This research paper provides a comprehensive analysis of NSGA-III, a state-of-the-art multi-objective optimization algorithm. We delve into its principles, advancements, applications, and comparative studies to showcase its effectiveness and limitations.

References

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  9. Fraguela, B. B., Yannibelli, V., Pacini, E., Monge, D., Mateos, C., Rodriguez, G. (2020). A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud. Scientific Programming, 2020, 4653204. DOI: 10.1155/2020/4653204.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 5, September-October-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ms. Shilpi Jain, Prof Kamlesh Kumar Dubey, Dr. Madhur Jain, Divyansh Rampal, " Evaluating NSGA-III : A Comprehensive Study on Multi-objective Optimization" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.146-150, September-October-2023. Available at doi : https://doi.org/10.32628/CSEIT2390523