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Approximating a two-machine flow shop scheduling under discrete scenario uncertainty
Kasperski, Adam; Kurpisz, Adam; Zieliński, Paweł - In: European journal of operational research : EJOR 217 (2012) 1, pp. 36-43
Persistent link: https://www.econbiz.de/10009388680
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Mitigating overtime risk in tactical surgical scheduling
Zhang, Yu; Wang, Yu; Tang, Jiafu; Lim, Andrew - In: Omega : the international journal of management science 93 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012243786
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Surgical scheduling under uncertainty by approximate dynamic programming
Silva, Thiago A. O.; Souza, Maurício C. de - In: Omega : the international journal of management science 95 (2020), pp. 1-15
Persistent link: https://www.econbiz.de/10012243870
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Minimizing maximum cost for a single machine under uncertainty of processing times
Fridman, Ilia; Pesch, Erwin; Shafransky, Yakov - In: European journal of operational research : EJOR 286 (2020) 2, pp. 444-457
Persistent link: https://www.econbiz.de/10012291534
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Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty
Chassein, André; Goerigk, Marc; Kurtz, Jannis; Poss, … - In: European journal of operational research : EJOR 279 (2019) 2, pp. 308-319
Persistent link: https://www.econbiz.de/10012110700
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Risk-averse single machine scheduling : complexity and approximation
Kasperski, Adam; Zieliński, Paweł - In: Journal of scheduling 22 (2019) 5, pp. 567-580
Persistent link: https://www.econbiz.de/10012117022
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A Pure Proactive Scheduling Algorithm for Multiple Earth Observation Satellites Under Uncertainties of Clouds
Wang, Jianjiang; Demeulemeester, Erik; Qiu, Dishan - 2014
an integer linear programming (ILP) model. Subsequently, a branch and cut (B&C) algorithm based on lazy constraint … and efficiency of our proposed formulation and algorithm …
Persistent link: https://www.econbiz.de/10014142379
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Parallel machine scheduling under uncertainty : models and exact algorithms
Song, Guopeng; Leus, Roel - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 6, pp. 3059-3079
Persistent link: https://www.econbiz.de/10014326336
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An introduction to robust combinatorial optimization : concepts, models and algorithms for decision making under uncertainty
Goerigk, Marc; Hartisch, Michael - 2024
1. Introduction -- 2. Basic Concepts -- 3. Robust Problems -- 4. General Reformulation Results -- 5. General Solution Methods -- 6. Robust election Problems -- 7. Robust Shortest Path Problems -- 8. Robust Spanning Tree Problems -- 9. Other Combinatorial Problems -- 10. Other Models for Robust...
Persistent link: https://www.econbiz.de/10015051060
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Solving the incomplete markets model with aggregate uncertainty using the Krusell-Smith algorithm
Maliar, Lilia; Maliar, Serguei; Valli, Fernando - 2009
Persistent link: https://www.econbiz.de/10003871769