titled "Machine Learning and Combinatorial Optimization" to be published
in OR Spectrum.
Machine Learning (ML) has recently emerged as a prospective area of
investigation for OR in general, and specifically for Combinatorial
Optimization (CO). Following the impressive boost in the effectiveness
of deep learning models, new approaches have been proposed as frameworks
to tackle combinatorial optimization problems using ML techniques, while
OR conferences and workshops are featuring an ever increasing number of
events and contributions related to these new trends.
This special issue aims at presenting an overview of the
state-of-the-art of the field, welcoming contributions about innovative
research both on ML addressing CO problems or supporting CO approaches,
and on CO algorithms addressing ML issues. Contributions should
investigate the application of novel approaches, be it on the side of
modelling, computational solution procedures, technologies, or
analytics, to the synergy of machine learning and combinatorial
optimization. In line with the aims and scope of OR Spectrum,
manuscripts should emphasize the practical relevance and the
methodological contribution of the work.
Papers must be submitted at http://www.editorialmanager.com/orsp/ under
the category "Machine Learning and Combinatorial Optimization" by
January 31, 2020. Each paper will be screened by the Editor-in-Chief and
one special issue editor. If the paper is deemed to be of sufficient
quality, it will be reviewed according to the standards of OR Spectrum
by at least two experienced reviewers. We will adopt a rapid and fair
review process striving to provide reviews within three months of
submission. Accepted papers will be available online prior to the
publication of the special issue.
You can read the call for papers here:
https://static.springer.com/sgw/documents/1656615/application/pdf/291_ORSP_CfP_Machine+Learning+and+Combinatorial+Optimization.pdf
Inquiries can be asked directly to the Guest Editors in charge of this
issue:
Gianni Di Caro, Carnegie Mellon University in Qatar, Qatar, gdicaro@cmu.edu
Roberto Montemanni, University of Modena and Reggio Emilia, Italy,
roberto.montemanni@unimore.it
Matteo Salani, IDSIA – USI/SUPSI, Switzerland, matteo.salani@idsia.ch
Vittorio Maniezzo, University of Bologna, Italy, vittorio.maniezzo@unibo.it
--
________________________________________________________________
Vittorio Maniezzo, prof. || vittorio.maniezzo@unibo.it
Department of Computer Science || tel. +39 331 6382417
University of Bologna || skype: vittorio.maniezzo
via dell'Università n. 50, || www.cs.unibo.it/maniezzo
47521 Cesena, Italy ||
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