Concept
Covering problems
Publications associées (46)
Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case
Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron
The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to operators while planning for their systems (the supply). These preferences are formalized with discrete choice model ...
2017Integrating supply and demand within the framework of mixed integer linear problems
Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron
The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to policy makers while planning for their systems (the supply). On one hand, these preferences are formalized with disc ...
2017A Lagrangian relaxation method for a choice-based optimization framework capturing the demand-supply interaction
Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron
The integration of customer behavioral models in optimization provides a better understanding of the preferences of clients (the demand) to policy makers while planning for their systems (the supply). On the one hand, these preferences are formalized with ...
2017A New Framework for Distributed Submodular Maximization
A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, can be cast as constrained submodular maximization problems. A lot of recent effort has been devoted to developing distributed algo ...
Ieee2016