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Coping with Incomplete Information in Scheduling — Stochastic and Online Models

  • Megow N
Springer Berlin Heidelberg, (2008), 17-22
DOI: 10.1007/978-3-540-77903-2_3
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Abstract

Incomplete information is an omnipresent issue when dealing with real-world optimization problems. Typically, such limitations concern the uncertainty of given data or the complete lack of knowledge about future parts of a problem instance. Our work is devoted to...

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Megow, N. (2008). Coping with Incomplete Information in Scheduling — Stochastic and Online Models. In Operations Research Proceedings 2007 (pp. 17–22). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-77903-2_3

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