A survey on deep learning-based algorithms for the traveling salesman problem

This paper presents an overview of deep learning (DL)-based algorithms designed for solving the traveling salesman problem (TSP), categorizing them into four categories: end-to-end construction algorithms, end-to-end improvement algorithms, direct hybrid algorithms, and large language model (LLM)-ba...

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Vydané v:	Frontiers of Computer Science Ročník 19; číslo 6; s. 196322
Hlavní autori:	SUI, Jingyan, DING, Shizhe, HUANG, Xulin, YU, Yue, LIU, Ruizhi, XIA, Boyang, DING, Zhenxin, XU, Liming, ZHANG, Haicang, YU, Chungong, BU, Dongbo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Beijing Higher Education Press 01.06.2025 Springer Nature B.V
Predmet:	Algorithms algorithms design Computer Science Deep learning Heuristic methods Large language models Machine learning neural network Neural networks Review Article Traveling salesman problem deep learning traveling salesman problem algorithms design neural network
ISSN:	2095-2228, 2095-2236
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