Accelerating Benders Decomposition by Local Branching

Accelerating Benders Decomposition by Local Branching

Walter Rei, Michel Gendreau Département d’informatique et de recherche opérationnelle and Centre de recherche sur les transports, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Canada, H3C 3J7, {[email protected], [email protected]} Jean-François Cordeau, Patrick Soriano HEC and Centre de recherche sur les transports, Montréal, 3000 chemin de la Côte-Sainte-C...

Accelerating the Composite Power System Planning by Benders Decomposition

This paper presents an application of Benders decomposition to deal with the complexities in the simultaneous Generation Expansion Planning (GEP) and Transmission Expansion Planning (TEP). Unlike the power system operation fields of study, the power system planning methods are not expected to be fast. However, it is always preferable to speed up computations to provide more analysis options for...

accelerating the composite power system planning by benders decomposition

this paper presents an application of benders decomposition to deal with the complexities in the simultaneous generation expansion planning (gep) and transmission expansion planning (tep). unlike the power system operation fields of study, the power system planning methods are not expected to be fast. however, it is always preferable to speed up computations to provide more analysis options for...

Accelerating Benders decomposition for network design

Network design problems arise in many different application areas such as air freight, highway traffic and communications systems. This thesis concerns the development, analysis and testing of new techniques for solving network design problems. We study the application of Benders decomposition to solve mixed integer programming formulations of the network design problem. A new methodology for a...

Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria