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A Benders decomposition for maximum simulated likelihood estimation of advanced discrete choice models

Publications associées (53)

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A Stability Theorem On Cube Tessellations

János Pach

It is shown that if a d-dimensional cube is decomposed into n cubes, the side lengths of which belong to the interval (1 - n1/d+1; 1], then n is a perfect d-th power and all cubes are of the same size. This result is essentially tight. ...

CARLETON UNIV, DEPT MATHEMATICS & STATISTICS2018

Integrating 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 ...

2017

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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 ...

2017

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

2017

Integrating advanced discrete choice models in mixed integer linear optimization

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque, Bernard Gendron

The integration of customer behavioral models in operations research (OR) is appealing to operators and policy makers (the supply) because it provides a better understanding of the preferences of customers (the demand) while planning for their systems. The ...

2017

Incorporating advanced behavioral models in mixed linear optimization

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque

Discrete choice models are the state-of-the-art for the mathematical modelling of demand. Based on the concept of random utility, they are able to predict the choice behavior of individuals. However, these models are highly non linear and non convex in the ...

2016

A new mathematical representation of demand using choice-based optimization method

Michel Bierlaire, Shadi Sharif Azadeh, Meritxell Pacheco Paneque

Discrete choice models are the state-of-the-art for the mathematical modeling of demand. Based on the concept of random utility, they are able to predict the choice behavior of individuals. However, these models are highly non linear and non convex in the ...

2016

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2016

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Tracking the ball is critical for video-based analysis of team sports. However, it is difficult, especially in low resolution images, due to the small size of the ball, its speed that creates motion blur, and its often being occluded by players. In this pa ...

2016

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Since centralized control of urban networks with detailed modeling approaches is computationally complex, developing efficient hierarchical control strategies based on aggregate modeling is of great importance. The dynamics of a heterogeneous large-scale u ...

Institute of Electrical and Electronics Engineers2015