A new cross decomposition method for stochastic mixed-integer linear programming
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Publication:1752218
DOI10.1016/j.ejor.2016.08.005zbMath1394.90440OpenAlexW2515859521MaRDI QIDQ1752218
Publication date: 24 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/1974/27983
stochastic programmingDantzig-Wolfe decompositionBenders decompositionmixed-integer linear programmingcross decomposition
Numerical mathematical programming methods (65K05) Mixed integer programming (90C11) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06)
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Cites Work
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- A cross-decomposition scheme with integrated primal-dual multi-cuts for two-stage stochastic programming investment planning problems
- A branch-price-and-cut algorithm for multi-mode resource leveling
- Branching in branch-and-price: A generic scheme
- Nonconvex generalized Benders decomposition for stochastic separable mixed-integer nonlinear programs
- On the convergence of cross decomposition
- About Lagrangian methods in integer optimization
- Bender's method revisited
- Partitioning procedures for solving mixed-variables programming problems
- Mean value cross decomposition applied to integer programming problems
- Dual decomposition in stochastic integer programming
- Solving binary cutting stock problems by column generation and branch- and-bound
- Stabilized column generation for highly degenerate multiple-depot vehicle scheduling problems
- A generic view of Dantzig--Wolfe decomposition in mixed integer programming
- Generalized Benders decomposition
- Branch-and-Price: Column Generation for Solving Huge Integer Programs
- Benders Decomposition for Large-Scale Uncapacitated Hub Location
- GUSS: Solving Collections of Data Related Models Within GAMS
- Decomposition Principle for Linear Programs
- A Cross Decomposition Algorithm for Capacitated Facility Location
- Lagrangean decomposition: A model yielding stronger lagrangean bounds
- A Column Generation Approach to the Urban Transit Crew Scheduling Problem
- Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria
- The Lagrangian Relaxation Method for Solving Integer Programming Problems
- Reformulation of the Multiperiod MILP Model for Capacity Expansion of Chemical Processes
- The Engine Scheduling Problem In A Railway Network
- On Dantzig-Wolfe Decomposition in Integer Programming and ways to Perform Branching in a Branch-and-Price Algorithm
- Cross decomposition for mixed integer programming
- A Generalized Approach to Dantzig-Wolfe Decomposition for Concave Programs
- Validation of subgradient optimization
- Column Generation
- Selected Topics in Column Generation
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming