Friday, August 31, 2018

[DMANET] CfP: [Algorithms] Special Issue: Quantum Optimization Theory, Algorithms, and Applications (Deadline: 31 December 2018)

Dear Colleagues,

We cordially invite you to submit a manuscript for consideration and
possible publication in a Special Issue on "Quantum Optimization Theory,
Algorithms, and Applications" to be published in an EI, ESCI and
Scopus-indexed open access journal Algorithms

The submission manuscript deadline is *31 December 2018*. Special
interest will be given to global optimization, but any other quantum
optimization algorithm will fit this Special Issue. Applications of
quantum optimization in machine learning and big data are also welcome.
For more details please visit the website:

You may share this invitation with your team members and colleagues;
co-authors are most welcome.

Please let me know within a month or as soon as possible if you and your
colleagues are interested in submitting a manuscript for this special
issue. If more time is needed, please feel free to tell us
( or Your contribution would
be most welcome.

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. As open access is supported by the authors
and their institutes, an Article Processing Charge (APC) of CHF 850
applies to accepted papers. 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

We hope this topic is of interest to you and look forward to
collaborating with you in the near future.

Kind regards,
Ms. Jones Zhang
Assistant Editor
MDPI Wuhan Office
Algorithms Editorial Office
Tel. +86-27-87808658;
Fax: +86-27-87612588

Algorithms Editorial Office
St. Alban-Anlage 66, 4052 Basel
Tel.: +41 61 683 77 34
Fax: +41 61 302 89 18

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