Computational bounds for elevator control policies by large scale linear programming
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DOI: 10.1007/s00186-013-0454-5
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- Daniela Pucci de Farias & Benjamin Van Roy, 2006. "A Cost-Shaping Linear Program for Average-Cost Approximate Dynamic Programming with Performance Guarantees," Mathematics of Operations Research, INFORMS, vol. 31(3), pages 597-620, August.
- Benjamin Hiller & Andreas Tuchscherer, 2008. "Real-Time Destination-Call Elevator Group Control on Embedded Microcontrollers," Operations Research Proceedings, in: Jörg Kalcsics & Stefan Nickel (ed.), Operations Research Proceedings 2007, pages 357-362, Springer.
- D. P. de Farias & B. Van Roy, 2003. "The Linear Programming Approach to Approximate Dynamic Programming," Operations Research, INFORMS, vol. 51(6), pages 850-865, December.
- Daniel Adelman & Adam J. Mersereau, 2008. "Relaxations of Weakly Coupled Stochastic Dynamic Programs," Operations Research, INFORMS, vol. 56(3), pages 712-727, June.
- Daniela Pucci de Farias & Benjamin Van Roy, 2004. "On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming," Mathematics of Operations Research, INFORMS, vol. 29(3), pages 462-478, August.
- Benjamin Hiller & Torsten Klug & Andreas Tuchscherer, 2011. "Improved Destination Call Elevator Control Algorithms for Up Peak Traffic," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 251-256, Springer.
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Keywords
Markov decision problem; Bounds; Large scale; Column generation; Approximation; Performance guarantee; MSC 90C40; MSC 90C05; 90C06;All these keywords.
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