Conditional Generative Adversarial Network-Based Bilevel Evolutionary Multiobjective Optimization Algorithm

In bilevel multiobjective optimization problems (BLMOPs), the mapping from an upper-level vector to the corresponding lower-level optimal vectors is a complex set valued mapping. Existing methods require numerous surrogate models to fit such a set valued mapping by grouping the lower-level optimal v...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 28; číslo 5; s. 1205 - 1219
Hlavní autori:	Wang, Weizhong, Liu, Hai-Lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2024
Predmet:	Adaptation models Bilevel optimization Computational modeling conditional generative adversarial network (cGAN) Correlation evolutionary algorithm Generators multiobjective Optimization Sociology Task analysis
ISSN:	1089-778X, 1941-0026
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