A hybrid neural combinatorial optimization framework assisted by automated algorithm design

In recent years, the application of Neural Combinatorial Optimization (NCO) techniques in Combinatorial Optimization (CO) has emerged as a popular and promising research direction. Currently, there are mainly two types of NCO, namely, the Constructive Neural Combinatorial Optimization (CNCO) and the...

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Veröffentlicht in:	Complex & intelligent systems Jg. 10; H. 6; S. 8233 - 8247
Hauptverfasser:	Ma, Liang, Hao, Xingxing, Zhou, Wei, He, Qianbao, Zhang, Ruibang, Chen, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V Springer
Schlagworte:	Algorithms Automated algorithm design Automation Combinatorial analysis Complexity Computational Intelligence Data Structures and Information Theory Deep learning Design optimization Encoders-Decoders Engineering Machine learning Neural combinatorial optimization Neural networks Optimization Original Article Reinforcement learning Supervised learning Transformer Traveling salesman problem Vehicle routing Neural combinatorial optimization Transformer Automated algorithm design Reinforcement learning
ISSN:	2199-4536, 2198-6053
Online-Zugang:	Volltext
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