Works matching IS 02545330 AND DT 2020 AND VI 284 AND IP 2
Results: 9
Preface: decomposition methods for hard optimization problems.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 483, doi. 10.1007/s10479-019-03415-8
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A Benders decomposition approach to product location in carousel storage systems.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 623, doi. 10.1007/s10479-019-03274-3
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Price-and-verify: a new algorithm for recursive circle packing using Dantzig–Wolfe decomposition.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 527, doi. 10.1007/s10479-018-3115-5
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Random sampling and machine learning to understand good decompositions.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 501, doi. 10.1007/s10479-018-3067-9
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An accelerated L-shaped method for solving two-stage stochastic programs in disaster management.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 557, doi. 10.1007/s10479-018-2880-5
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Improving set partitioning problem solutions by zooming around an improving direction.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 645, doi. 10.1007/s10479-018-2868-1
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A Lagrangian relaxation approach for stochastic network capacity expansion with budget constraints.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 605, doi. 10.1007/s10479-018-2862-7
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A branch-and-cut algorithm for the maximum covering cycle problem.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 487, doi. 10.1007/s10479-018-2856-5
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Partition-based decomposition algorithms for two-stage Stochastic integer programs with continuous recourse.
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- Annals of Operations Research, 2020, v. 284, n. 2, p. 583, doi. 10.1007/s10479-017-2689-7
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- Article