Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems

The purpose of this study was to develop an evolutionary algorithm (EA) with bilevel surrogate modeling, called BL-SAEA, for tackling bilevel optimization problems (BLOPs), in which an upper level problem is to be solved subject to the optimality of a corresponding lower level problem. The motivatio...

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Vydáno v:	IEEE transactions on cybernetics Ročník 54; číslo 7; s. 4335 - 4347
Hlavní autoři:	Jiang, Hao, Chou, Kang, Tian, Ye, Zhang, Xingyi, Jin, Yaochu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.07.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Bilevel optimization problem (BLOP) evolutionary algorithm (EA) Evolutionary algorithms Evolutionary computation Genetic algorithms Kriging model Linear programming Modelling Optimization Performance evaluation Search problems Signal processing algorithms Social factors State-of-the-art reviews Statistics surrogate model
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
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