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Search: subject:"Hypervolume indicator."
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Hypervolume indicator
7
Theorie
7
Theory
7
Mathematical programming
6
Mathematische Optimierung
6
Multi-criteria analysis
5
Multikriterielle Entscheidungsanalyse
5
Algorithm
3
Algorithmus
3
Multi-objective optimization
3
Multiobjective optimization
3
Branch and Bound
2
Branch-and-Bound
2
Hypervolume subset selection problem
2
Integer programming
2
Multi-objective branch and bound
2
Ant colony optimization
1
Automatic configuration
1
Branch and bound
1
Computational complexity analysis
1
Decomposition method
1
Dekompositionsverfahren
1
Differential Evolution
1
Dynamic traveling salesman
1
Economic indicator
1
Evolutionary algorithm
1
Evolutionary economics
1
Evolutionsökonomik
1
Evolutionärer Algorithmus
1
Ganzzahlige Optimierung
1
Heuristics
1
Heuristik
1
Hypervolume indicator.
1
Incremental computation
1
Index
1
Index construction
1
Index number
1
Indexberechnung
1
Integer linear programming
1
Klee's measure problem
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English
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Guerreiro, Andreia P.
2
Stiglmayr, Michael
2
Bauß, Julius
1
Bauß, Julius C.
1
Bezerra, Leonardo C. T.
1
Dorigo, Marco
1
Figueira, José Rui
1
Fonseca, Carlos M. da
1
Gao, Yang
1
Gomes, Ricardo J.
1
Jaszkiewicz, Andrzej
1
Klamroth, Kathrin
1
Kuhn, Tobias
1
Lacour, Renaud
1
Liu, Chao
1
Manquinho, Vasco
1
Oliveira, Sabrina M. de
1
Paquete, Luís F.
1
Souza, Sérgio Ricardo de
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Stützle, Thomas G.
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Wanner, Elizabeth F.
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Yan, Bai
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Computers & operations research : and their applications to problems of world concern ; an international journal
5
Mathematical Methods of Operations Research
1
Mathematical methods of operations research : ZOR
1
RAIRO / Operations research
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ECONIS (ZBW)
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EconStor
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1
Augmenting bi-objective branch and bound by scalarization-based information
Bauß, Julius C.
;
Stiglmayr, Michael
- In:
Mathematical methods of operations research : ZOR
100
(
2024
)
1
,
pp. 85-121
Persistent link: https://www.econbiz.de/10015126893
Saved in:
2
Augmenting bi-objective branch and bound by scalarization-based information
Bauß, Julius
;
Stiglmayr, Michael
- In:
Mathematical Methods of Operations Research
100
(
2024
)
1
,
pp. 85-121
utilizing scalarization-based information. We use the
hypervolume
indicator
as a measure for the gap between lower and upper …
Persistent link: https://www.econbiz.de/10015358776
Saved in:
3
Exact hypervolume subset selection through incremental computations
Guerreiro, Andreia P.
;
Manquinho, Vasco
;
Figueira, José Rui
- In:
Computers & operations research : and their …
136
(
2021
),
pp. 1-15
Persistent link: https://www.econbiz.de/10012629619
Saved in:
4
A computational study on ant colony optimization for the traveling salesman problem with dynamic demands
Oliveira, Sabrina M. de
;
Bezerra, Leonardo C. T.
; …
- In:
Computers & operations research : and their …
135
(
2021
),
pp. 1-19
Persistent link: https://www.econbiz.de/10012649728
Saved in:
5
Implicit enumeration strategies for the hypervolume subset selection problem
Gomes, Ricardo J.
;
Guerreiro, Andreia P.
;
Kuhn, Tobias
; …
- In:
Computers & operations research : and their …
100
(
2018
),
pp. 244-253
Persistent link: https://www.econbiz.de/10011930610
Saved in:
6
Improved quick hypervolume algorithm
Jaszkiewicz, Andrzej
- In:
Computers & operations research : and their …
90
(
2018
),
pp. 72-83
Persistent link: https://www.econbiz.de/10011775254
Saved in:
7
A box decomposition algorithm to compute the
hypervolume
indicator
Lacour, Renaud
;
Klamroth, Kathrin
;
Fonseca, Carlos M. da
- In:
Computers & operations research : and their …
79
(
2017
),
pp. 347-360
Persistent link: https://www.econbiz.de/10011673551
Saved in:
8
A new hypervolume-based differential evolution algorithm for many-objective optimization
Liu, Chao
;
Zhao, Qi
;
Yan, Bai
;
Gao, Yang
- In:
RAIRO / Operations research
51
(
2017
)
4
,
pp. 1301-1315
Persistent link: https://www.econbiz.de/10011859839
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