Parallel Learning Portfolio-Based Solvers
From LRDE
- Authors
- Tarek Menouer, Souheib Baarir
- Where
- Proceedings of the International Conference on Computational Science (ICCS)
- Place
- Zurich, Switzerland
- Type
- inproceedings
- Projects
- Spot
- Date
- 2017-06-01
Abstract
Exploiting multi-core architectures is a way to tackle the CPU time consumption when solving SAT- isfiability (SAT) problems. Portfolio is one of the main techniques that implements this principle. It consists in making several solvers competing, on the same problem, and the winner will be the first that answers. In this work, we improved this technique by using a learning schema, namely the Exploration- Exploitation using Exponential weight (EXP3)that allows smart resource allocations. Our contribution is adapted to situations where we have to solve a bench of SAT instances issued from one or several sequence of problems. Our experiments show that our approach achieves good results.
Documents
Bibtex (lrde.bib)
@InProceedings{ menouer.17.iccs,
author = {Tarek Menouer and Souheib Baarir},
title = {Parallel Learning Portfolio-Based Solvers},
booktitle = {Proceedings of the International Conference on
Computational Science (ICCS)},
month = jun,
address = {Zurich, Switzerland},
pages = {335--344},
year = {2017},
abstract = {Exploiting multi-core architectures is a way to tackle the
CPU time consumption when solving SAT- isfiability (SAT)
problems. Portfolio is one of the main techniques that
implements this principle. It consists in making several
solvers competing, on the same problem, and the winner will
be the first that answers. In this work, we improved this
technique by using a learning schema, namely the
Exploration- Exploitation using Exponential weight (EXP3),
that allows smart resource allocations. Our contribution is
adapted to situations where we have to solve a bench of SAT
instances issued from one or several sequence of problems.
Our experiments show that our approach achieves good
results.}
}