The degree of dynamism for workforce scheduling problem with stochastic task duration

Y. Borenstein; A. Alsheddy; E. Tsang; Nazaraf Shah

doi:10.1145/1570256.1570267

The degree of dynamism for workforce scheduling problem with stochastic task duration

Y. Borenstein, A. Alsheddy, E. Tsang, Nazaraf Shah

Research output: Contribution to conference › Paper

Original language	English
Pages	2005-2010
DOIs	https://doi.org/10.1145/1570256.1570267
Publication status	Published - 2009

Bibliographical note

The full text of this item is not available from the repository. Paper presented at the 11th annual conference on Genetic and evolutionary computation (GECCO 2009), held July 8-12 2009, Montreal, Canada.
© ACM, 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference {2009} http://dx.doi.org/10.1145/1570256.1570267

Keywords

degree of dynamism
workforce scheduling
task duration

Access to Document

10.1145/1570256.1570267

Cite this

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author = "Y. Borenstein and A. Alsheddy and E. Tsang and Nazaraf Shah",

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AU - Alsheddy, A.

AU - Tsang, E.

AU - Shah, Nazaraf

N1 - The full text of this item is not available from the repository. Paper presented at the 11th annual conference on Genetic and evolutionary computation (GECCO 2009), held July 8-12 2009, Montreal, Canada. © ACM, 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference {2009} http://dx.doi.org/10.1145/1570256.1570267

PY - 2009

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KW - task duration

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DO - 10.1145/1570256.1570267

M3 - Paper

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EP - 2010

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