[agents] CFP - Special Issue on Evolutionary Machine Learning in The Knowledge Engineering Review

[Patrick Mannion]

*** Apologies if you receive more than one copy *** Dear colleagues,

The Knowledge Engineering Review (Impact Factor: 1.257, Scimago rank: Q2 in
AI journals
<https://www.scimagojr.com/journalsearch.php?q=24774&tip=sid&clean=0>) is
currently accepting submissions for a Special Issue on Evolutionary Machine
Learning.

Evolutionary machine learning is a fast-growing sub-field of research
within machine learning that leverages evolutionary methods to address
machine learning problems, ranging from data mining to computer vision.
This special issue aims to provide a venue for researchers interested in
all aspects of evolutionary machine learning to disseminate high quality
research, and to encourage collaboration between researchers involved in
the field.

This special issue targets high-quality original research papers covering
all aspects of evolutionary machine learning. A non-exhaustive list of the
topics of interest is outlined in the full CfP at the end of this email.
The submission of manuscripts that are extended versions of work previously
published at a conference or workshop are also welcome, on the condition
that there is a significant amount of new material in the submission (i.e.
the submission should contain a minimum of 50% new material).

More details can be found on the Special Issue website:

https://www.cambridge.org/core/news/evolutionary-machine-learning

Papers accepted to the special issue will not be liable for any publication
fees or article processing charges. The deadline for submissions to the
special issue is the 01 September 2021.

Authors interested in submitting to the special issue can also optionally
submit a preliminary paper to the NeuroEvolution at Work (NEWK) ACM
Workshop (deadline 12 April 2021), which is run alongside the GECCO 2021
conference: https://www.newk2021.icar.cnr.it/

Please feel free to contact us if you have any questions about the special
issue.

Yours sincerely,

Guest Editors

Karl Mason, National University of Ireland Galway, karl.mason at nuigalway.ie

Patrick Mannion, National University of Ireland Galway,
patrick.mannion at nuigalway.ie

***********************************************************************

Call for Papers - Special Issue of KER on Evolutionary Machine Learning

There has been an explosion of interest in machine learning research in
recent years. Evolutionary machine learning is a fast-growing sub-field of
research within machine learning that leverages evolutionary methods to
address machine learning problems, ranging from data mining to computer
vision. This special issue aims to provide a venue for researchers
interested in all aspects of evolutionary machine learning to disseminate
high quality research, and to encourage collaboration between researchers
involved in the field.

This special issue targets high-quality original research papers covering
all aspects of evolutionary machine learning. A non-exhaustive list of the
topics of interest is outlined below. The submission of manuscripts that
are extended versions of work previously published at a conference or
workshop are also welcome, on the condition that there is a significant
amount of new material in the submission (i.e. the submission should
contain a minimum of 50% new material).

Guest Editors:

   -

   Karl Mason, National University of Ireland Galway, Ireland
   -

   Patrick Mannion, National University of Ireland Galway, Ireland

Topics of interest:

   -

   Evolutionary neural networks (neuroevolution)
   -

   Evolutionary reinforcement learning
   -

   Genetic programming
   -

   Evolutionary strategies
   -

   Artificial life
   -

   Evolutionary robotics
   -

   Image processing using neuroevolution
   -

   Supervised learning
   -

   Evolutionary game theory
   -

   Evolving multi-agent systems
   -

   Multi-objective neuroevolution
   -

   Deep neuroevolution
   -

   Applications of evolutionary machine learning to:
   -

      Healthcare
      -

      Cybersecurity
      -

      Energy systems
      -

      Environment
      -

      Finance
      -

      Other applications

Timeline:

Full paper submission deadline: 01 September 2021

Manuscript submissions will be considered for publication in the special
issue on a continuous basis until the submission deadline. First decisions
will be issued approximately 2 months after the initial manuscript
submission. Submissions accepted for publication before the completion of
the special issue will be available on the journal website shortly after
acceptance.

Submission instructions:

All papers accepted to the special issue will have to meet the normal peer
review and quality standards of the journal, and potential contributors are
encouraged to browse through some recent issues of the journal to get a
sense of the style and formatting. The journal homepage can be found at
https://www.cambridge.org/core/journals/knowledge-engineering-review

To submit, authors should use the journal’s submission system at
https://mc.manuscriptcentral.com/ker and select "Evolutionary Machine
Learning" as the special collection type when entering the details of the
manuscript.

Authors should follow the KER submission instructions when preparing their
manuscript - these are available at
https://www.cambridge.org/core/journals/knowledge-engineering-review/information/instructions-contributors
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.umbc.edu/pipermail/agents/attachments/20210225/cbd7b25f/attachment-0001.html>