A Learning-Based Matheuristic for Stochastic Multicommodity Network Design
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Publication:4995093
DOI10.1287/ijoc.2020.0967zbMath1466.90022OpenAlexW3082775988MaRDI QIDQ4995093
Fatemeh Sarayloo, Teodor Gabriel Crainic, Walter Rei
Publication date: 23 June 2021
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/ijoc.2020.0967
matheuristictwo-stage formulationstochastic capacitated network designuncertain multicommodity demand
Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59) Deterministic network models in operations research (90B10)
Cites Work
- Scenario grouping in a progressive hedging-based meta-heuristic for stochastic network design
- Single source single-commodity stochastic network design
- Integrated supply chain planning under uncertainty using an improved stochastic approach
- Supply chain design under uncertainty using sample average approximation and dual decomposition
- Local branching
- Service network design in freight transportation
- A heuristic for moment-matching scenario generation
- Single-commodity network design with random edge capacities
- Analyzing the quality of the expected value solution in stochastic programming
- A stochastic programming approach for supply chain network design under uncertainty
- Modeling with Stochastic Programming
- Introduction to Stochastic Programming
- Progressive hedging-based metaheuristics for stochastic network design
- Scenarios and Policy Aggregation in Optimization Under Uncertainty
- Cycle-Based Neighbourhoods for Fixed-Charge Capacitated Multicommodity Network Design
- Networks synthesis and optimum network design problems: Models, solution methods and applications
- A stochastic integer programming approach to solving a synchronous optical network ring design problem
- Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
- Scenarios for multistage stochastic programs
- Progressive hedging as a meta-heuristic applied to stochastic lot-sizing
- Single-Commodity Network Design with Stochastic Demand and Multiple Sources and Sinks
