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Adaptive hybrid response prediction for dynamic multi-objective optimization | Synapse
March 3, 2026
Adaptive hybrid response prediction for dynamic multi-objective optimization
SL
Sanyi Li
Zhengzhou University of Light Industry
WH
Wenjie Hou
Zhengzhou University of Light Industry
PL
Peng Liu
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Puntos clave
Predictive models improve algorithmic performance in dynamic multi-objective optimization, indicating significant enhancement.
The study highlights the effectiveness of adaptive hybrid response in addressing complex optimization challenges.
Analysis utilizes advanced techniques to integrate different optimization strategies and their outcomes.
Continued exploration of adaptive methods could lead to better solutions for real-world optimization scenarios.
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7618ec6e9836116a2f95c
https://doi.org/https://doi.org/10.1007/s12065-026-01150-1