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ECONIS (ZBW)
165
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1
The evolution of cooperation with different fitness functions using probabilistic cellular automata
Schimit, P. H. T.
;
Santos, B. O.
;
Soares, C. A.
- In:
Computational Management Science : CMS
12
(
2015
)
1
,
pp. 35-43
Persistent link: https://www.econbiz.de/10010481799
Saved in:
2
Data-driven optimization in management
Consigli, Giorgio
;
Kleywegt, Anton
- In:
Computational Management Science : CMS
16
(
2019
)
3
,
pp. 371-374
Persistent link: https://www.econbiz.de/10012053142
Saved in:
3
Blocks of coordinates, stochastic programming, and markets
Flåm, Sjur D.
- In:
Computational Management Science : CMS
16
(
2019
)
1/2
,
pp. 3-16
Persistent link: https://www.econbiz.de/10011993406
Saved in:
4
Multistage portfolio optimization with multivariate dominance constraints
Petrová, Barbora
- In:
Computational Management Science : CMS
16
(
2019
)
1/2
,
pp. 17-46
Persistent link: https://www.econbiz.de/10011993411
Saved in:
5
Identifying systemically important financial institutions : a network approach
Rovira Kaltwasser, Pablo
;
Spelta, Alessandro
- In:
Computational Management Science : CMS
16
(
2019
)
1/2
,
pp. 155-185
Persistent link: https://www.econbiz.de/10011993457
Saved in:
6
Simulation and evaluation of the distribution of interest rate risk
Hagenbjörk, Johan
;
Blomvall, Jörgen
- In:
Computational Management Science : CMS
16
(
2019
)
1/2
,
pp. 297-327
Persistent link: https://www.econbiz.de/10011993485
Saved in:
7
Big data analytics : an aid to detection of non-technical losses in power utilities
Micheli, Giovanni
;
Soda, Emiliano
;
Vespucci, Maria Teresa
; …
- In:
Computational Management Science : CMS
16
(
2019
)
1/2
,
pp. 329-343
Persistent link: https://www.econbiz.de/10011993487
Saved in:
8
Uncertainty, economics and optimization : recent developments
Gutjahr, Walter J.
(
ed.
);
Pichler, Alois
(
ed.
)
-
2019
Persistent link: https://www.econbiz.de/10012126666
Saved in:
9
The decision rule approach to optimization under uncertainty : methodology and applications
Georghiou, Angelos
;
Kuhn, Daniel
;
Wiesemann, Wolfram
- In:
Computational Management Science : CMS
16
(
2019
)
4
,
pp. 545-576
Persistent link: https://www.econbiz.de/10012126678
Saved in:
10
B&B method for discrete partial order optimization
Norkin, Vladimir I.
- In:
Computational Management Science : CMS
16
(
2019
)
4
,
pp. 577-592
Persistent link: https://www.econbiz.de/10012126679
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