Enhancing neural combinatorial optimization by progressive training paradigm

Neural Combinatorial Optimization (NCO) methods have garnered considerable attention, due to their effectiveness in automatic algorithm design for solving combinatorial optimization problems. Current constructive NCO methods predominantly employ a one-stage training paradigm using either reinforceme...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 659; p. 131707
Main Authors:	Cao, Zhi, Wu, Yaoxin, Hou, Yaqing, Ge, Hongwei
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2026
Subjects:	Attention model Neural combinatorial optimization Reinforcement learning Vehicle routing problem Attention model Neural combinatorial optimization Vehicle routing problem Reinforcement learning
ISSN:	0925-2312
Online Access:	Get full text
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