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~subject:"Scheduling problem"
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Search: subject:"biased random-key genetic algorithm"
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Scheduling problem
Evolutionary algorithm
15
Evolutionärer Algorithmus
15
Theorie
14
Theory
14
Heuristics
13
Heuristik
12
Biased random-key genetic algorithm
9
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9
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6
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6
biased random-key genetic algorithm
5
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4
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4
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Biased random-key genetic algorithm (BRKGA)
3
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2
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random keys
2
Airfreight forwarder
1
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1
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1
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Biased random key genetic algorithm
1
Bin loading problem
1
Bin packing
1
Business process management
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Capacitated minimum spanning tree
1
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Resende, Mauricio G. C.
3
Carvalho, Marco Antonio Moreira de
2
Soares, Leonardo C. R.
2
Albareda-Sambola, Maria
1
Almeida, Bernardo F.
1
Aquino, Andre L. L.
1
Correia, Isabel
1
Damm, Ricardo B.
1
Fernández, Elena
1
Gonçalves, José Fernando
1
Hottung, André
1
Li, Xueping
1
Lima, Alfredo
1
Nogueira, Bruno
1
Pinheiro, Rian G. S.
1
Ronconi, Débora P.
1
Ruiz, Efrain
1
Saldanha-da-Gama, Francisco
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Computers & operations research : and their applications to problems of world concern ; an international journal
4
Computers & operations research : an international journal
1
International journal of production economics
1
International transactions in operational research : ITOR ; a journal of the International Federation of Operational Research Societies (IFORS)
1
International transactions in operational research : a journal of the International Federation of Operational Research Societies
1
Top : an official journal of the Spanish Society of Statistics and Operations Research
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ECONIS (ZBW)
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1
A matheuristic approach for the minimum broadcast time problem using a
biased
random-key
genetic
algorithm
Lima, Alfredo
;
Aquino, Andre L. L.
;
Nogueira, Bruno
; …
- In:
International transactions in operational research : a …
31
(
2024
)
1
,
pp. 246-273
Persistent link: https://www.econbiz.de/10014430483
Saved in:
2
Biased
random-key
genetic
algorithm
for the job sequencing and tool switching problem with non-identical parallel machines
Soares, Leonardo C. R.
;
Carvalho, Marco Antonio Moreira de
- In:
Computers & operations research : an international journal
163
(
2024
),
pp. 1-11
Persistent link: https://www.econbiz.de/10014562859
Saved in:
3
Application of a hybrid evolutionary algorithm to resource-constrained parallel machine scheduling with setup times
Soares, Leonardo C. R.
;
Carvalho, Marco Antonio Moreira de
- In:
Computers & operations research : and their …
139
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013342718
Saved in:
4
A
biased
random-key
genetic
algorithm
for the project scheduling problem with flexible resources
Almeida, Bernardo F.
;
Correia, Isabel
; …
- In:
Top : an official journal of the Spanish Society of …
26
(
2018
)
2
,
pp. 283-308
Persistent link: https://www.econbiz.de/10011889524
Saved in:
5
Single batch processing machine scheduling with two-dimensional bin packing constraints
Li, Xueping
;
Zhang, Kaike
- In:
International journal of production economics
196
(
2018
),
pp. 113-121
Persistent link: https://www.econbiz.de/10011820765
Saved in:
6
A
biased
random
key
genetic
algorithm
for the field technician scheduling problem
Damm, Ricardo B.
;
Resende, Mauricio G. C.
;
Ronconi, …
- In:
Computers & operations research : and their …
75
(
2016
),
pp. 49-63
Persistent link: https://www.econbiz.de/10011544960
Saved in:
7
A
biased
random-key
genetic
algorithm
for the container pre-marshalling problem
Hottung, André
;
Tierney, Kevin
- In:
Computers & operations research : and their …
75
(
2016
),
pp. 83-102
Persistent link: https://www.econbiz.de/10011544972
Saved in:
8
A
biased
random-key
genetic
algorithm
for the capacitated minimum spanning tree problem
Ruiz, Efrain
;
Albareda-Sambola, Maria
;
Fernández, Elena
; …
- In:
Computers & operations research : and their …
57
(
2015
),
pp. 95-108
Persistent link: https://www.econbiz.de/10010495397
Saved in:
9
An extended Akers graphical method with a
biased
random-key
genetic
algorithm
for job-shop scheduling
Gonçalves, José Fernando
;
Resende, Mauricio G. C.
- In:
International transactions in operational research : …
21
(
2014
)
2
,
pp. 215-246
Persistent link: https://www.econbiz.de/10010256680
Saved in:
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