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...

Celý popis

Podrobná bibliografia

Vydané v:	Neurocomputing (Amsterdam) Ročník 659; s. 131707
Hlavní autori:	Cao, Zhi, Wu, Yaoxin, Hou, Yaqing, Ge, Hongwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2026
Predmet:	Attention model Neural combinatorial optimization Reinforcement learning Vehicle routing problem Attention model Neural combinatorial optimization Vehicle routing problem Reinforcement learning
ISSN:	0925-2312
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!