Learning for routing : a guided review of recent developments and future directions
Fangting Zhou, Attila Lischka, Balázs Kulcsár, Jiaming Wu, Morteza Haghir Chehreghani, Gilbert Laporte
| Year of publication: |
2025
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|---|---|
| Authors: | Zhou, Fangting ; Lischka, Attila ; Kulcsár, Balázs ; Wu, Jiaming ; Haghir Chehreghani, Morteza ; Laporte, Gilbert |
| Published in: |
Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ZDB-ID 2013782-5. - Vol. 202.2025, Art.-No. 104278, p. 1-35
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| Subject: | Combinatorial optimization | Machine learning | Reinforcement learning | Routing problems | Traveling salesman problem | Vehicle routing problem | Tourenplanung | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Lernen | Learning | Theorie | Theory | Rundreiseproblem | Travelling salesman problem | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.tre.2025.104278 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015451764