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Call for Papers
Special Issue on Theoretical Foundations of Evolutionary Computation
IEEE Transactions on Evolutionary Computation
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Aim and Scope
Evolutionary computation methods such as evolutionary algorithms or
ant colony optimization have been successfully applied to a wide range
of problems. This includes classical combinatorial optimization
problems and many hard real-world optimization problems. Real-world
problems are often hard to optimize by traditional methods as they are
non-linear, highly constrained, multi-objective, and come with a wide
range of uncertainties. Many different evolutionary computation
methods for dealing with complex problems have been proposed over the
years
In contrast to the successful applications to extremely difficult
problems, the theoretical understanding of these algorithms lags far
behind the practical success. This is unfortunate, since a rigorous
understanding of the working principles of evolutionary methods can
lead to a better understanding under which situations a given type of
algorithm works, and provide design guidelines for new powerful
methods in practice.
For these reasons the last 20 years saw increasing efforts to lay the
theoretical foundations of evolutionary methods. The aim of this
special issue is to advance the theoretical understanding of
evolutionary computation methods and bridge theory and practice. We
solicit novel, high-quality scientific contributions on theoretical or
foundational aspects of evolutionary computation. A successful
exchange between theory and practice in evolutionary computation is
very desirable and papers bridging theory and practice are of
particular interest. In addition to strict mathematical
investigations, experimental studies strengthening the theoretical
foundations of evolutionary computation methods are very welcome.
Topics
The special issue will present in a coherent form novel results from
different sub-areas of evolutionary computation theory. Authors are
encouraged to submit novel, high-quality research from any sub-area,
including (but not limited to):
- Representations
- Scaling issues
- Methods for handling constraints
- Dynamic and stochastic environments
- Feature-based analysis, fitness landscapes and problem difficulty
- Co-evolution
- Evolutionary multi-objective optimization
- Meta-optimization
- Human/evolutionary algorithm interactions (human in the loop)
- Runtime analysis of all types of evolutionary computing techniques
including evolutionary algorithms, swarm intelligence, memetic
algorithms and artificial immune systems.
Submission
Manuscripts must be prepared according to the instructions of the
"Information for Authors" section of the journal, available at
http://ieee-cis.org/pubs/tec/authors/. Papers incorrectly formatted
will be returned without review.
Papers must be submitted through the IEEE TEVC journal website:
http://mc.manuscriptcentral.com/tevc-ieee. Authors must clearly
indicate "Special issue on Theoretical Foundations of Evolutionary
Computation" in the comments to the Editor-in-Chief. Submitted papers
will be reviewed by at least three reviewers. The submission of a
manuscript implies that it is the authors' original unpublished work
and is not being submitted for possible publication elsewhere.
Schedule
- 30 Nov 2013: Submission deadline
- 1 Feb 2014: Notice of the first round review
- 15 Mar 2014: Revision due
- 1 May 2014: Final notice of acceptance / reject
- 1 Jun 2014: Final manuscript due
Guest Editors
- A/Prof Frank Neumann, University of Adelaide,
<[log in to unmask]>
- Prof Benjamin Doerr, Max Planck Institute for Informatics,
<[log in to unmask]>
- Dr Per Kristian Lehre, University of Nottingham,
<[log in to unmask]>
- Prof Pauline Haddow, Norwegian University of Science and
Technology, <[log in to unmask]>
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