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

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The current leading 6D object pose estimation methods rely heavily on annotated real data, which is highly costly to acquire. To overcome this, many works have proposed to introduce computer-generated synthetic data. However, bridging the gap between the s ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2021

A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Hossein Sekhavatmanesh

The distribution network restoration problem is by nature a mixed integer and non-linear optimization problem due to the switching decisions and Optimal Power Flow (OPF) constraints, respectively. The link between these two parts involves logical implicati ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

N2O Decomposition over Fe-ZSM-5: A Systematic Study in the Generation of Active Sites

Lioubov Kiwi, Fernando Cardenas Lizana, Bryan Bromley

We have carried out a systematic investigation of the critical activation parameters (i.e., final temperature (673-1273 K), atmosphere (He vs. O-2/He), and final isothermal hold (1 min-15 h) on the generation of "alpha-sites", responsible for the direct N2 ...

2020

A Structure Theorem for Level Sets of Multiplicative Functions and Applications

Florian Karl Richter

Given a level set E of an arbitrary multiplicative function f, we establish, by building on the fundamental work of Frantzikinakis and Host [14, 15], a structure theorem that gives a decomposition of

1_{E}

into an almost periodic and a pseudo-random part ...

2020

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Supported aluminum-based complex hydrides (alanates) were investigated in view of their interaction at the interface. Nickel-containing porous carbon sheets (Ni-PCSs) were combined with various alanates, resulting in a decrease of the decomposition tempera ...

AMER CHEMICAL SOC2020

Optimal Design of Heat-Integrated Water Allocation Networks

François Maréchal, Ivan Daniel Kantor, Maziar Kermani

Industrial operations consume energy and water in large quantities without accounting for potential economic and environmental burdens on future generations. Consumption of energy (mainly in the form of high pressure steam) and water (in the form of proces ...

2019

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We propose a graph signal processing framework to overcome the computational burden of Tensor Robust PCA (TRPCA). Our framework also serves as a convex alternative to graph regularized tensor factorization methods. Our method is based on projecting a tenso ...

IEEE2019

Lagrangian relaxation for the demand-based benefit maximization problem

Shadi Sharif Azadeh, Virginie Janine Camille Lurkin, Meritxell Pacheco Paneque, Bernard Gendron

The integration of discrete choice models in Mixed Integer Linear Programming (MILP) models provides a better understanding of customers' preferences to operators while planning for their systems. However, the formulations associated with the choice model ...

2018

A Lagrangian relaxation technique for the demand-based benefit maximization problem

Michel Bierlaire, Shadi Sharif Azadeh, Virginie Janine Camille Lurkin, Meritxell Pacheco Paneque, Bernard Gendron

Discrete choice models are the state-of-the-art of demand modeling at the disaggregate level. Their integration with Mixed Integer Linear Programming (MILP) models provides a better understanding of customers' preferences to operators while planning for t ...

2018

Integrating advanced discrete choice models in mixed integer linear optimization

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

The integration of choice models in mixed integer linear programming (MILP) is appealing to operators because it provides a better understanding of the preferences of customers while planning for their systems. However, the complexity of choice models lea ...

2018

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

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A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

N2O Decomposition over Fe-ZSM-5: A Systematic Study in the Generation of Active Sites

A Structure Theorem for Level Sets of Multiplicative Functions and Applications

Optimal Design of Heat-Integrated Water Allocation Networks

Lagrangian relaxation for the demand-based benefit maximization problem

A Lagrangian relaxation technique for the demand-based benefit maximization problem

Integrating advanced discrete choice models in mixed integer linear optimization

A Structure Theorem for Level Sets of Multiplicative Functions and Applications

Optimal Design of Heat-Integrated Water Allocation Networks

Integrating advanced discrete choice models in mixed integer linear optimization

N2O Decomposition over Fe-ZSM-5: A Systematic Study in the Generation of Active Sites

A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Lagrangian relaxation for the demand-based benefit maximization problem

A Lagrangian relaxation technique for the demand-based benefit maximization problem