Evaluating NSGA-III : A Comprehensive Study on Multi-objective Optimization-Reference-Cited by-同舟云学术

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

Published:2023-09-07 Issue: Volume: Page:146-150
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Ms. Shilpi Jain ¹,Prof Kamlesh Kumar Dubey ²,Dr. Madhur Jain ³,Divyansh Rampal ⁴

Affiliation:

1. Assistant Professor, Department of Mathematics, ARSD College, University of Delhi, Delhi, India

2. Professor, Department of Applied Science and Humanities, Invertis University, Bareilly, India

3. Assistant Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology, Delhi, India

4. Student, Department of Information Technology, Bhagwan Parshuram Institute of technology, Delhi, India

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.

Publisher

Technoscience Academy

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference9 articles.

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4. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. In Proceedings of the Parallel Problem Solving from Nature (PPSN VII) Conference (pp. 849-858). Springer.

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