Lookahead policy and genetic algorithm for solving nurse rostering problems

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Lookahead policy and genetic algorithm for solving nurse rostering problems

Previous research has shown that value function approximation in dynamic programming does not perform too well when tackling difficult combinatorial optimisation problem such as multi-stage nurse rostering. This is because the large action space that need to be explored. This paper proposes to repla...

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Bibliographic Details
Main Authors:	Shi, Peng, Landa-Silva, Dario
Format:	Conference or Workshop Item
Language:	English
Published:	2018
Subjects:	hybrid algorithm genetic algorithm lookahead policy eval- uation dynamic programming nurse rostering problem
Online Access:	https://eprints.nottingham.ac.uk/53343/

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