Chance-constrained Scheduling via Conflict-directed Risk Allocation

Chance-constrained Scheduling via Conflict-directed Risk Allocation

Temporal uncertainty in large-scale logistics forces one to trade off between lost efficiency through built-in slack and costly replanning when deadlines are missed. Due to the difficulty of reasoning about such likelihoods and consequences, a computational framework is needed to quantify and bound...

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Bibliographic Details
Main Authors: Wang, Andrew J. (Contributor), Williams, Brian Charles (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence, 2015-01-20T17:03:31Z.
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