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~isPartOf:"European journal of operational research : EJOR"
~isPartOf:"Finance research letters"
~isPartOf:"International journal of hospitality management"
~isPartOf:"MIS quarterly"
~isPartOf:"NBER working paper series"
~subject:"Scheduling-Verfahren"
~type:"article"
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Scheduling-Verfahren
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European journal of operational research : EJOR
Finance research letters
International journal of hospitality management
MIS quarterly
NBER working paper series
International journal of production research
23
Computers & operations research : and their applications to problems of world concern ; an international journal
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1
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Monaci, Marta
;
Agasucci, Valerio
;
Grani, Giorgio
- In:
European journal of operational research : EJOR
312
(
2024
)
3
,
pp. 910-926
Persistent link: https://www.econbiz.de/10014456446
Saved in:
2
Multi-armed bandit-based hyper-heuristics for combinatorial optimization problems
Lagos, Felipe
;
Pereira, Jordi
- In:
European journal of operational research : EJOR
312
(
2024
)
1
,
pp. 70-91
Persistent link: https://www.econbiz.de/10014456204
Saved in:
3
An expandable machine learning-optimization framework to sequential decision-making
Yilmaz, Dogacan
;
Büyüktahtakın, İ. Esra
- In:
European journal of operational research : EJOR
314
(
2024
)
1
,
pp. 280-296
Persistent link: https://www.econbiz.de/10014456857
Saved in:
4
Adaptive solution prediction for combinatorial optimization
Shen, Yunzhuang
;
Sun, Yuan
;
Li, Xiaodong
;
Eberhard, Andrew
- In:
European journal of operational research : EJOR
309
(
2023
)
3
,
pp. 1392-1408
Persistent link: https://www.econbiz.de/10014435020
Saved in:
5
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Bouška, Michal
;
Šůcha, Přemysl
;
Novak, Antonin
; …
- In:
European journal of operational research : EJOR
308
(
2023
)
3
,
pp. 990-1006
Persistent link: https://www.econbiz.de/10014311872
Saved in:
6
Machine learning at the service of meta-heuristics for solving combinatorial optimization problems : a state-of-the-art
Karimi-Mamaghan, Maryam
;
Mohammadi, Mehrdad
;
Meyer, Patrick
- In:
European journal of operational research : EJOR
296
(
2022
)
2
,
pp. 393-422
Persistent link: https://www.econbiz.de/10012663341
Saved in:
7
An algorithm selection approach for the flexible job shop scheduling problem : choosing constraint programming solvers through machine learning
Müller, David
;
Müller, Marcus G.
;
Kress, Dominik
; …
- In:
European journal of operational research : EJOR
302
(
2022
)
3
,
pp. 874-891
Persistent link: https://www.econbiz.de/10013363794
Saved in:
8
Machine learning for combinatorial optimization : a methodological tour d'horizon
Bengio, Yoshua
;
Lodi, Andrea
;
Prouvost, Antoine
- In:
European journal of operational research : EJOR
290
(
2021
)
2
,
pp. 405-421
Persistent link: https://www.econbiz.de/10012495192
Saved in:
9
Accelerating the branch-and-price algorithm using machine learning
Václavík, Roman
;
Novak, Antonin
;
Šůcha, Přemysl
; …
- In:
European journal of operational research : EJOR
271
(
2018
)
3
,
pp. 1055-1069
Persistent link: https://www.econbiz.de/10011903270
Saved in:
10
An evolutionary artificial immune system for multi-objective optimization
Tan, K. C.
;
Goh, C. K.
;
Mamun, A. A.
;
Ei, E. Z.
- In:
European journal of operational research : EJOR
187
(
2008
)
2
,
pp. 371-392
Persistent link: https://www.econbiz.de/10003769263
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