5 citations · 11 across the 12 of their papers we have counts for
4 papers · 1 filter
The Differentiable Feasibility Pump
Matteo Cacciola, Alexandre Forel, Antonio Frangioni +1
Although nearly 20 years have passed since its conception, the feasibility pump algorithm remains a widely used heuristic to find feasible primal solutions to mixed-integer linear…
The Algorithm Configuration Problem
Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni +1
The field of algorithmic optimization has significantly advanced with the development of methods for the automatic configuration of algorithmic parameters. This article delves into…
Learning to Configure Mathematical Programming Solvers by Mathematical Programming
Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni +1
We discuss the issue of finding a good mathematical programming solver configuration for a particular instance of a given problem, and we propose a two-phase approach to solve it.…
A learning-based mathematical programming formulation for the automatic configuration of optimization solvers
Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni +1
We propose a methodology, based on machine learning and optimization, for selecting a solver configuration for a given instance. First, we employ a set of solved instances and conf…