5 papers
On leveraging constrained smooth additive regression models for global optimization
Marina Cuesta, Claudia D'Ambrosio, MarÃa Durban +2
Many real-world decision-making processes rely on solving mixed-integer nonlinear programs (MINLPs). However, finding high-quality solutions to MINLPs is often computationally dema…
On a geometric graph-covering problem related to optimal safety-landing-site location
Claudia D'Ambrosio, Marcia Fampa, Jon Lee +1
We propose integer-programming formulations for an optimal safety-landing site (SLS) location problem that arises in the design of urban air-transportation networks. We first devel…
Optimal Risk Scores for Continuous Predictors
Cristina Molero-RÃo, Claudia D'Ambrosio
In this paper, we propose a novel Mixed-Integer Non-Linear Optimization formulation to construct a risk score, where we optimize the logistic loss with sparsity constraints. Previo…
A comparison of formulations for aircraft deconfliction
Renan Spencer Trindade, Claudia D'Ambrosio
In this work, we aim to compare different methods and formulations to solve a problem in air traffic management to global optimality. In particular, we focus on the aircraft deconf…
Formulations of the continuous set-covering problem on networks: a comparative study
Liding Xu, Claudia D'Ambrosio
We study the continuous set covering problem on networks and propose several new MILP formulations and valid inequalities. In contrast to state-of-the-art formulations, the new for…