An optimal recruitment algorithm based on an efficient tree search policy

Lalbakhsh, P., Novak, A. and Caelli, T. 2017, An optimal recruitment algorithm based on an efficient tree search policy, in MODSIM 2017 : Proceedings of the 22nd International Congress on Modelling and Simulation, Australian National University, Canberra, A.C.T., pp. 674-680.

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Title An optimal recruitment algorithm based on an efficient tree search policy
Author(s) Lalbakhsh, P.
Novak, A.
Caelli, T.ORCID iD for Caelli, T. orcid.org/0000-0001-9281-2556
Conference name Modelling and Simulation. Congress (2017 : 22nd : Hobart, Tasmania)
Conference location Hobart, Tasmania
Conference dates 3-8 Dec. 2017
Title of proceedings MODSIM 2017 : Proceedings of the 22nd International Congress on Modelling and Simulation
Publication date 2017
Start page 674
End page 680
Total pages 7
Publisher Australian National University
Place of publication Canberra, A.C.T.
Keyword(s) Decision Support System (DSS)
dynamic systems
Markov decision process (MDP)
optimal recruitment
optimization
ISBN 9780987214379
Language eng
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135686

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