[Opt-Net] Call for Papers of a Special Issue 'Algorithms for Scheduling Problems'

Frank Werner frank.werner at mathematik.uni-magdeburg.de
Thu Oct 5 14:46:07 CEST 2017

The journal Algorithms (ISSN 1424-8220,  
http://www.mdpi.com/journal/algorithms) is currently running a Special  
Issue entitled “Algorithms for Scheduling Problems”.

As the Guest Editor of this issue, I would like to invite you to  
contribute to this special issue.

For further reading, please follow the link to the Special Issue  
Website at:  

The submission deadline is 28 February 2018. You may send your  
manuscript now or up until the deadline. Submitted papers should not  
be under consideration for publication elsewhere. We also encourage  
authors to send a short abstract or tentative title to the Editorial  
Office in advance (jones.zhang at mdpi.com or algorithms at mdpi.com).

Algorithms is fully open access. Open access (unlimited and free  
access by readers) increases publicity and promotes more frequent  
citations, as indicated by several studies. Open access is supported  
by the authors and their institutes. The Article Processing Charges  
(APC) for accepted papers are CHF 550. For papers submitted after 1  
January 2018 an APC of CHF 850 applies. You may be entitled to a  
discount if you have previously received a discount code or if your  
institute is participating in the MDPI Institutional Open Access  
Program (IOAP), for more information see:  

For further details on the submission process, please see the  
instructions for authors at the journal website  

Guest Editors:

Frank Werner
Otto-von-Guericke-Universität, Fakultät für Mathematik, Magdeburg, Germany
E-Mail: frank.werner at ovgu.de

Larysa Burtseva
Autonomous University of Baja California, Mexicali, Mexico
E-Mail: burtseva at uabc.edu.mx

Yuri Sotskov
United Institute of Informatics Problems, Minsk, Belarus
E-Mail: sotskov at newman.bas-net.by

Frank Werner
OvGU Magdeburg, Fakultät für Mathematik,
PSF 4120, 39016 Magdeburg
email: frank.werner at ovgu.de
Tel.: +49 (0) 391 67 52025

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