Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization

Luca Mossina, Emmanuel Rachelson, Daniel Delahaye

2019

Abstract

This paper addresses the resolution of combinatorial optimization problems presenting some kind of recurrent structure, coupled with machine learning techniques. Stemming from the assumption that such recurrent problems are the realization of an unknown generative probabilistic model, data is collected from previous resolutions of such problems and used to train a supervised learning model for multi-label classification. This model is exploited to predict a subset of decision variables to be set heuristically to a certain reference value, thus becoming fixed parameters in the original problem. The remaining variables then form a smaller subproblem whose solution, while not guaranteed to be optimal for the original problem, can be obtained faster, offering an advantageous tool for tackling time-sensitive tasks.

Paper Citation

in Harvard Style

Mossina L., Rachelson E. and Delahaye D. (2019). Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization.In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-352-0, pages 133-141. DOI: 10.5220/0007396601330141

in Bibtex Style

@conference{icores19,
author={Luca Mossina and Emmanuel Rachelson and Daniel Delahaye},
title={Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization},
booktitle={Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2019},
pages={133-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007396601330141},
isbn={978-989-758-352-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization
SN - 978-989-758-352-0
AU - Mossina L.
AU - Rachelson E.
AU - Delahaye D.
PY - 2019
SP - 133
EP - 141
DO - 10.5220/0007396601330141