On parallelization of a stochastic dynamic programming algorithm for solving large-scale mixed 0–1 problems under uncertainty-Reference-Cited by-同舟云学术

On parallelization of a stochastic dynamic programming algorithm for solving large-scale mixed 0–1 problems under uncertainty

Published:2015-01-28 Issue:3 Volume:23 Page:703-742
ISSN:1134-5764
Container-title:TOP
language:en
Short-container-title:TOP

Author:

Aldasoro Unai,Escudero Laureano F.,Merino María,Monge Juan F.,Pérez Gloria

Publisher

Springer Science and Business Media LLC

Subject

Discrete Mathematics and Combinatorics,Statistics and Probability,Management Science and Operations Research,Information Systems and Management,Modelling and Simulation

Link

http://link.springer.com/content/pdf/10.1007/s11750-014-0359-3.pdf

Reference42 articles.

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2. Aldasoro U, Escudero LF, Merino M, Pérez G (2013) An algorithmic framework for solving large-scale multistage stochastic mixed 0–1 problems with nonsymmetric scenario trees. Part II: Parallelization. Comput Oper Res 40:2950–2960

3. ARINA (2015) Cluster IZO-SGI, SGIker (UPV/EHU). http://www.ehu.es/sgi/recursos/cluster-arina

4. Benders J (1962) Partitioning procedures for solving mixed variables programming problems. Manag Sci 1:238–252

5. Beraldi P, Grandinetti L, Musmanno R, Trik C (2000) Parallel algorithms to solve two-stage stochastic linear programs with robustness constraints. Parallel Comput 26:1889–1908

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