ANALYSIS OF BENEFITS OF INTEGRATING THE OPPOSITION BASED LEARNING TECHNIQUE INTO NON-DOMINATED SORTING GENETIC ALGORITHM III

DOI10.17654/0974165823007OpenAlexW4315796911MaRDI QIDQ6115144

Unnamed Author, Shilpi Jain

Publication date: 15 August 2023

Published in: Advances and Applications in Discrete Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17654/0974165823007

zbMATH Keywords

convergencemulti-objective optimizationdiversityPareto-optimal solutionsopposition-based learningperformance metricsNSGA III

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Cites Work

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• Resource constraint scheduling with a fractional shared resource
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Solving multi-mode time–cost–quality trade-off problems under generalized precedence relations
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems

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