Binary decision rules for multistage adaptive mixed-integer optimization
Decision rules provide a flexible toolbox for solving computationally demanding, multistage adaptive optimization problems. There is a plethora of real-valued decision rules that are highly scalable and achieve good quality solutions. On the other hand, existing binary decision rule structures tend...
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| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2018
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| Online Access: | http://hdl.handle.net/1721.1/117402 https://orcid.org/0000-0002-1985-1003 |