Bilevel Evolutionary Multi-objective Algorithm with Multiple Lower-level Search Modes

In bilevel optimization, the upper-level optimization problem (ULOP) requires to be solved under the constraint of the inner lower-level optimization problem (LLOP). However, it is computationally expensive to always consider the constraint caused by the LLOP in a higher priority because heavy evalu...

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Veröffentlicht in:	IEEE transactions on evolutionary computation S. 1
Hauptverfasser:	Yang, Ning, Liu, Hai-Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Accuracy Bilevel multi-objective optimization Computational modeling constraint multi-objective optimization Data mining evolutionary algorithm Evolutionary computation Optimization Process control Q-learning Search problems self-learning and reinforcement Training Vectors
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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