A unified Innovized progress operator for performance enhancement in evolutionary multi-and...

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Investigating innovized progress operators with different machine learning methods

D Bhasin, S Swami, S Sharma, S Sah… - … on Evolutionary Multi …, 2023 - Springer
Recent studies have demonstrated that the performance of Reference vector (RV) based
Evolutionary Multi-and Many-objective Optimization algorithms could be improved, through …
被引用次数：4 相关文章 所有 5 个版本

Enhancing the convergence ability of evolutionary multi-objective optimization algorithms with momentum

L Chen, LM Pang, Q Zhang, H Ishibuchi - Proceedings of the Genetic …, 2024 - dl.acm.org
To improve the convergence ability of evolutionary multi-objective optimization algorithms
(EMOAs), various strategies have been proposed. One effective strategy is to use good …
被引用次数：1 相关文章 所有 3 个版本

Learning to Simultaneously Converge and Diversify Better: UIP Operator

DK Saxena, S Mittal, K Deb, ED Goodman - Machine Learning Assisted …, 2024 - Springer
It has been highlighted earlier that all evolutionary multi-and many-objective optimization
algorithms (EMâOAs), including the reference vector (RV)-based EMâOAs or RV-EMâOAs …
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Learning to Diversify Better: IP3 Operator

DK Saxena, S Mittal, K Deb, ED Goodman - Machine Learning Assisted …, 2024 - Springer
It was emphasized earlier that evolutionary multi-and many-objective optimization
algorithms, jointly referred to as EMâOAs, pursue the dual goals of convergence to and …
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