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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Bibliographic Details
Published in:	Complex & intelligent systems Vol. 10; no. 6; pp. 8233 - 8247
Main Authors:	Ma, Liang, Hao, Xingxing, Zhou, Wei, He, Qianbao, Zhang, Ruibang, Chen, Li
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V Springer
Subjects:	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 Access:	Get full text
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