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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 659; S. 131707
Hauptverfasser:	Cao, Zhi, Wu, Yaoxin, Hou, Yaqing, Ge, Hongwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2026
Schlagworte:	Attention model Neural combinatorial optimization Reinforcement learning Vehicle routing problem Attention model Neural combinatorial optimization Vehicle routing problem Reinforcement learning
ISSN:	0925-2312
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!