RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention

Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO problems. However, most of these methods use attention mechanisms and their variants, which have room for further...

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Vydáno v:	Complex System Modeling and Simulation Ročník 5; číslo 2; s. 125 - 137
Hlavní autoři:	Wei, Huiqing, Han, Fei, Liu, Qing, Han, Henry
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Tsinghua University Press 01.06.2025
Témata:	deep reinforcement learning learning-based method multiobjective combinatorial optimization retention model
ISSN:	2096-9929, 2097-3705
On-line přístup:	Získat plný text
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