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51
Editorial: Special issue in honor of Berç Rustem
Amman, Hans M.
;
Pardalos, Panos M.
- In:
Computational Management Science : CMS
11
(
2014
)
3
,
pp. 195-196
Persistent link: https://www.econbiz.de/10010385638
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52
Special issue in honor of Berç Rustem
Amman, Hans M.
(
contributor
);
Rustem, Berç
(
honouree
)
-
2014
Persistent link: https://www.econbiz.de/10010385639
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53
Robust evolutionary algorithm design for socio-economic simulation : some comments
Waltman, Ludo
;
Eck, Nees Jan van
- In:
Computational economics
33
(
2009
)
1
,
pp. 103-105
Persistent link: https://www.econbiz.de/10009521360
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54
Robust evolutionary algorithm design for socio-economic simulation : a correction
Alkemade, Floortje
;
LaPoutré, Han
;
Amman, Hans M.
- In:
Computational economics
33
(
2009
)
1
,
pp. 99-101
Persistent link: https://www.econbiz.de/10009521364
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55
Handbook of computational economics ; Vol. 1
Amman, Hans M.
(
contributor
)
-
2007
-
Reprint.
Persistent link: https://www.econbiz.de/10003538354
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56
Computational economics and econometrics
Amman, Hans M.
(
ed.
)
-
1992
Persistent link: https://www.econbiz.de/10011519493
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57
How active is active learning : value function method vs an approximation method
Amman, Hans M.
;
Tucci, Marco Paolo
-
2018
Persistent link: https://www.econbiz.de/10011921036
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58
The DUAL approach in an infinite horizon model
Amman, Hans M.
;
Tucci, Marco Paolo
-
2017
Persistent link: https://www.econbiz.de/10011853036
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59
Guest editorial: special issue on experimentation in economics
Amman, Hans M.
;
Tucci, Marco Paolo
- In:
Computational economics
56
(
2020
)
3
,
pp. 599-600
Persistent link: https://www.econbiz.de/10012390412
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60
How active is active learning : value function method versus an approximation method
Amman, Hans M.
;
Tucci, Marco Paolo
- In:
Computational economics
56
(
2020
)
3
,
pp. 675-693
Persistent link: https://www.econbiz.de/10012390421
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