optimized outcomes are typically meant to be applied in future settings.
Business analytics, in its variants of predictive analytics and
prescriptive analytics, builds on this, including forecasting and
optimization tasks. However, these tasks are frequently separated and
lack cohesion. There have been studies on data uncertainty, but until
recently little work has been done on integrated approaches,
specifically on optimization methods applied to forecasting. The recent
growth of AI has introduced new, effective approaches, whereas
forecasting algorithms were previously primarily based on statistical
considerations.
Given the growing awareness of the interplay between optimization and
AI, which has made it a hot topic for meta- and matheuristics, this
session aims to focus on the connection between optimization and
forecasting, whether based on AI or other techniques. The goal is to
provide a platform for exchanging ideas, raising awareness of recent
developments, and stimulating discussions on the intersection of these
two areas.
Submissions to the session follow the same process as regular conference
submissions, simply select the session from the drop-down field on the
Easychair submission page at
https://easychair.org/conferences/?conf=mic2024.
Essential guidelines are in the following, for more details please refer
to the conference web page at https://mic2024.fr/
## Submission Guidelines
All papers must be original and not simultaneously submitted to another
journal or conference. The following paper categories are welcome:
- Regular paper: novel and original research contributions of a maximum
of 15 pages (LNCS format)
- Short paper: extended abstract of novel research works of 6 pages
(LNCS format)
- Oral presentation: high-quality published or preliminary recent works
## Important Dates
- Submissions / registrations open: December 1st, 2023
- Submission deadline: January 5th, 2024
- Notification of acceptance: February 2nd, 2024
--
________________________________________________________________
Vittorio Maniezzo, prof.
Department of Computer Science || vittorio.maniezzo@unibo.it
University of Bologna || orcid: 0000-0002-1220-1235
via dell'Università n. 50, || https://www.unibo.it/sitoweb/vittorio.maniezzo/en
47521 Cesena, Italy ||
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
