A New Scenario Reduction Method Based on Higher-Order Moments
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Publication:5106389
DOI10.1287/ijoc.2021.1155OpenAlexW4220823478MaRDI QIDQ5106389
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Publication date: 19 September 2022
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/ijoc.2021.1155
mixed integer linear programminghigher-order momentsscenario reductionimproved Benders decomposition
Cites Work
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- Generating Scenario Trees for Multistage Decision Problems
- Tree approximation for discrete time stochastic processes: a process distance approach
- A clustering approach for scenario tree reduction: an application to a stochastic programming portfolio optimization problem
- An algorithm for moment-matching scenario generation with application to financial portfolio optimisation
- Scenario construction and reduction applied to stochastic power generation expansion planning
- Scenario tree generation approaches using K-means and LP moment matching methods
- A review of scenario generation methods
- Scenario reduction in stochastic programming with respect to discrepancy distances
- Clustering algorithms for scenario tree generation: application to natural hydro inflows
- Partitioning procedures for solving mixed-variables programming problems
- Decomposition methods in stochastic programming
- Scenario reduction in stochastic programming
- Local branching
- Scenario reduction for stochastic programs with conditional value-at-risk
- Multiperiod portfolio investment using stochastic programming with conditional value at risk
- A heuristic for moment-matching scenario generation
- Scenario reduction algorithms in stochastic programming
- Scenario tree reduction for multistage stochastic programs
- A note on scenario reduction for two-stage stochastic programs
- A stochastic programming approach for supply chain network design under uncertainty
- Accelerating Benders Decomposition by Local Branching
- A Distance For Multistage Stochastic Optimization Models
- Optimal scenario tree reduction for stochastic streamflows in power generation planning problems
- Taguchi methods: linear graphs of high resolution
- Version-Independence and Nested Distributions in Multistage Stochastic Optimization
- Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria
- Multicommodity Distribution System Design by Benders Decomposition
- Stability analysis of portfolio management with conditional value-at-risk
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