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Benders decomposition

Known as: Benders' decomposition 
Benders decomposition (or Benders' decomposition) is a technique in mathematical programming that allows the solution of very large linear… 
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Related topics

Related topics

6 relations
Column generationDantzig–Wolfe decompositionFortSPLinear programming

Broader (1)

Mathematical optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Decentralized Solution for Combined Heat and Power Dispatch Through Benders Decomposition
The operational flexibility of electric power systems (EPS) is restricted by combined heat and power (CHP) units that act to… 
2017
2017
Stochastic and Chance-Constrained Conic Distribution System Expansion Planning Using Bilinear Benders Decomposition
Second-order conic programming (SOCP) has been used to model various applications in power systems, such as operation and… 
Highly Cited
2015
Highly Cited
2015
Benders Decomposition for the Design of a Hub and Shuttle Public Transit System
The BusPlus project aims at improving the off-peak hours public transit service in Canberra, Australia. To address the difficulty… 
Highly Cited
2013
Highly Cited
2013
Stochastic production planning for a biofuel supply chain under demand and price uncertainties
2012
2012
Short-Term Transmission Maintenance Scheduling Based on the Benders Decomposition
This paper proposes the model of short-term transmission maintenance scheduling to minimize the maintenance cost. In this model… 
Highly Cited
2011
Highly Cited
2011
Stochastic uncapacitated hub location
Highly Cited
2009
Highly Cited
2009
Distribution Systems Reconfiguration Based on OPF Using Benders Decomposition
This paper presents a new and efficient methodology for distribution network reconfiguration integrated with optimal power flow… 
Highly Cited
2009
Highly Cited
2009
Security-Constrained Unit Commitment With Natural Gas Transmission Constraints
The contribution of this paper focuses on the development of a security-based methodology for the solution of short-term SCUC… 
Highly Cited
1998
Highly Cited
1998
Dynamic stochastic programmingfor asset-liability management
Multistage stochastic programming - in contrast to stochastic control - has found wideapplication in the formulation and solution… 
Highly Cited
1989
Highly Cited
1989
Computational experience with dicopt solving MINLP problems in process systems engineering
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