A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems
Year of publication: |
2023
|
---|---|
Authors: | Kallestad, Jakob ; Hasibi, Ramin ; Hemmati, Ahmad ; Sörensen, Kenneth |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 309.2023, 1 (16.8.), p. 446-468
|
Subject: | Heuristics | Hyperheuristic | Adaptive metaheuristic | Deep reinforcement learning | Combinatorial optimization | Heuristik | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Lernprozess | Learning process | Scheduling-Verfahren | Scheduling problem | Lernen | Learning | Algorithmus | Algorithm |
-
A deep reinforcement learning hyperheuristic for the covering tour problem with varying coverage
Torabi, Parisa, (2025)
-
Lenovo schedules laptop manufacturing using deep reinforcement learning
Liang, Yi, (2022)
-
Learning tabu search algorithms : a scheduling application
Niroumandrad, Nazgol, (2024)
- More ...
-
Metaheuristics : the metaphor exposed
Sörensen, Kenneth, (2015)
-
Comments on: shared resources in collaborative vehicle routing
Sörensen, Kenneth, (2020)
-
Research trends in combinatorial optimization
Weinand, Jann Michael, (2021)
- More ...