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 | Theorie | Theory | Heuristik | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming | Lernprozess | Learning process | Lernen | Learning |
-
Baty, Léo, (2024)
-
Learning driven three-phase search for the maximum independent union of cliques problem
Lu, Zhi, (2024)
-
Lenovo schedules laptop manufacturing using deep reinforcement learning
Liang, Yi, (2022)
- More ...
-
An effective heuristic for solving a combined cargo and inventory routing problem in tramp shipping
Hemmati, Ahmad, (2014)
-
An iterative two-phase hybrid matheuristic for a multi-product short sea inventory-routing problem
Hemmati, Ahmad, (2016)
-
Benchmark suite for industrial and tramp ship routing and scheduling problems
Hemmati, Ahmad, (2014)
- More ...