High-Performance Prototyping of Decomposition Methods in GAMS

DOI10.1287/ijoc.2019.0905OpenAlexW3034433955MaRDI QIDQ4995054

Steffen Rebennack, Michael R. Bussieck, Timo Lohmann, Lutz Westermann

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.2019.0905

zbMATH Keywords

parallel computingdata structuresBenders decompositionalgebraic modeling languagesexpansion planningGAMS

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Uses Software

• AMPL
• LINDO
• AIMMS
• LINGO
• GAMS
• SBB
• GUSS

Cites Work

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• Combining sampling-based and scenario-based nested Benders decomposition methods: application to stochastic dual dynamic programming
• Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling
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• Partitioning procedures for solving mixed-variables programming problems
• Multi-stage stochastic optimization applied to energy planning
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• Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: an application to the strategic bidding problem
• A polyhedral branch-and-cut approach to global optimization
• Grid-Enabled Optimization with GAMS
• An outer-approximation algorithm for a class of mixed-integer nonlinear programs
• Solving an Electricity Generating Capacity Expansion Planning Problem by Generalized Benders' Decomposition
• Generation Capacity Expansion in Imperfectly Competitive Restructured Electricity Markets
• Long-Range Generation Planning Using Generalized Benders' Decomposition: Implementation and Experience

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