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Approximate dynamic programming
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Lunday, Brian J.
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European journal of operational research : EJOR
4
Computers & operations research : and their applications to problems of world concern ; an international journal
1
Omega : the international journal of management science
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ECONIS (ZBW)
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Approximate dynamic programming for the dispatch of military medical evacuation assets
Rettke, Aaron J.
;
Robbins, Matthew J.
;
Lunday, Brian J.
- In:
European journal of operational research : EJOR
254
(
2016
)
3
,
pp. 824-839
Persistent link: https://www.econbiz.de/10011521852
Saved in:
2
Approximate dynamic programming for missile defense interceptor fire control
Davis, Michael T.
;
Robbins, Matthew J.
;
Lunday, Brian J.
- In:
European journal of operational research : EJOR
259
(
2017
)
3
,
pp. 873-886
Persistent link: https://www.econbiz.de/10011695326
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3
An approximate dynamic programming approach for comparing firing policies in a networked air defense environment
Summers, Daniel S.
;
Robbins, Matthew J.
;
Lunday, Brian J.
- In:
Computers & operations research : and their …
117
(
2020
),
pp. 1-15
Persistent link: https://www.econbiz.de/10012175450
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4
Approximate dynamic programming for the aeromedical evacuation dispatching problem : value function approximation utilizing multiple level aggregation
Robbins, Matthew J.
;
Jenkins, Phillip R.
;
Bastian, …
- In:
Omega : the international journal of management science
91
(
2020
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012151709
Saved in:
5
Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem
Jenkins, Phillip R.
;
Robbins, Matthew J.
;
Lunday, Brian J.
- In:
European journal of operational research : EJOR
290
(
2021
)
1
,
pp. 132-143
Persistent link: https://www.econbiz.de/10012435804
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6
Improving defensive air battle management by solving a stochastic dynamic assignment problem via approximate dynamic programming
Liles, Joseph M.
;
Robbins, Matthew J.
;
Lunday, Brian J.
- In:
European journal of operational research : EJOR
305
(
2023
)
3
,
pp. 1435-1449
Persistent link: https://www.econbiz.de/10013499046
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