On \(BFC-MSMIP\) strategies for scenario cluster partitioning, and twin node family branching selection and bounding for multistage stochastic mixed integer programming
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Publication:1040974
DOI10.1016/j.cor.2009.06.023zbMath1176.90422OpenAlexW1966306904MaRDI QIDQ1040974
María Araceli Garín, María Merino, Gloria Pérez, Laureano Fernando Escudero Bueno
Publication date: 27 November 2009
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2009.06.023
branch-and-fix coordinationnonanticipativity constraintstwin node familymultistage stochastic mixed 0-1 programmingscenario cluster partitioning
Mixed integer programming (90C11) Polyhedral combinatorics, branch-and-bound, branch-and-cut (90C57) Stochastic programming (90C15)
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Cites Work
- Unnamed Item
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- Forestry management under uncertainty
- A heuristic procedure for stochastic integer programs with complete recourse
- On a mixture of the fix-and-relax coordination and Lagrangian substitution schemes for multistage stochastic mixed integer programming
- BFC-MSMIP: an exact branch-and-fix coordination approach for solving multistage stochastic mixed 0-1 problems
- On a stochastic sequencing and scheduling problem
- A general algorithm for solving two-stage stochastic mixed \(0-1\) first-stage problems
- On stochastic dynamic programming for solving large-scale planning problems under uncertainty
- BFC, A branch-and-fix coordination algorithmic framework for solving some types of stochastic pure and mixed 0--1 programs.
- An approach for strategic supply chain planning under uncertainty based on stochastic 0-1 programming
- A stochastic 0-1 program based approach for the air traffic flow management problem
- From stochastic dominance to mean-risk models: Semideviations as risk measures
- A two-stage stochastic integer programming approach as a mixture of branch-and-fix coordination and Benders decomposition schemes
- The million-variable ``march for stochastic combinatorial optimization
- Stochastic decomposition. A statistical method for large scale stochastic linear programming
- Conditional value-at-risk in stochastic programs with mixed-integer recourse
- Scenarios and Policy Aggregation in Optimization Under Uncertainty
- Introduction to Stochastic Programming
- Risk Aversion via Excess Probabilities in Stochastic Programs with Mixed-Integer Recourse
- Programming Under Uncertainty: The Equivalent Convex Program
- Stochastic optimization: Algorithms and applications. Conference, Univ. of Florida, Tallahassee, FL, USA, February 20--22, 2000
- Benchmarking optimization software with performance profiles.