Neural architecture search via reference point based multi‐objective evolutionary algorithm

•We propose RNSGA-Net for neural architecture search, which balances the conflict objectives and considers the preference of decision-makers.•We augment an extra bit value of the original encoding to represent two types of residual block and one type of dense block for residual connection and dense...

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Veröffentlicht in:	Pattern recognition Jg. 132; S. 108962
Hauptverfasser:	Tong, Lyuyang, Du, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2022
Schlagworte:	Multi-objective evolutionary algorithm Neural architecture search The image classification The image classification Multi-objective evolutionary algorithm Neural architecture search
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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