Final CFP - ECADA Workshop GECCO 2013

[Krzysztof Krawiec]

- FINAL CALL FOR PAPERS - FINAL CALL FOR PAPERS -
(apologies for cross-posting)

In response to a number of requests from those finalising papers, we are
pleased to extend the submission deadline for the GECCO ECADA workshop
until midnight April 7th GMT.

THIRD ANNUAL WORKSHOP ON
Evolutionary Computation for the Automated Design of Algorithms
(ECADA-2013) to be held as part of the 2013 Genetic and Evolutionary
Computation Conference (GECCO-2013)
July 06-10, Amsterdam, The Netherlands

Organized by ACM SIGEVO
http://www.sigevo.org/gecco-2013/

EXTENDED PAPER SUBMISSION DEADLINE FOR WORKSHOP: midnight (GMT) April 
7th 2013

Workshop URL: http://homepages.dcc.ufmg.br/~glpappa/workshop.html

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Although most evolutionary computation techniques are designed to
generate specific solutions to a given instance of a problem, some of
these techniques can be explored to solve more generic problems. The
main objective of this workshop is to discuss evolutionary computation
methods for the generation of such generic algorithms and/or heuristics.

Since these methods, known as hyper-heuristics, operate at a higher
level of abstraction, they have the advantage of producing algorithms
which can be applied to a class of problems, rather than a solution
specifically produced for a single instance of the problem. The
application for these methods include data mining, machine learning,
optimization, bioinformatics, image processing, economics etc.

The workshop welcomes original submissions on all aspects of7
evolutionary computation for designing generic algorithms and
heuristics, which include (but are not limited to) the following
topics and themes:

- Evolutionary algorithms for designing generic combinatorial
optimization algorithms or heuristics
- Evolutionary algorithms for designing generic machine learning
algorithms or heuristics
- Evolutionary algorithms for designing generic function optimizers
- Evolutionary algorithms for designing generic algorithms or heuristics
for bioinformatics
- (Meta-level) evolutionary algorithms for designing other (base-level)
evolutionary algorithms
- Empirical comparison of different hyper-heuristics
- Theoretical analyses of hyper-heuristics
- Automatic selection of algorithmic building blocks as a pre-processing
step for the use of hyper-heuristics
- Analysis of the trade-off between generality and effectiveness of
different heuristics, algorithms or heuristics produced by hyper-heuristi=
cs
- Real-world applications of hyper-heuristics

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Paper Submission
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Submitted papers should follow the ACM format, and not exceed 8 pages.
Please see the GECCO 2013 information for authors for further details.
However, note that the review process of the workshop is not
double-blind. Hence, authors' information should appear in the paper.
All accepted papers will be presented at the workshop and appear in the
GECCO workshop volume. Proceedings of the workshop will be published on
CD-ROM, and distributed at the conference.

Papers should be submitted by midnight (GMT) 7th April, 2013 in PDF format
to:
[jerry.swan -at- cs.stir.ac.uk]
containing the subject line "GECCO Workshop".

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Important Dates
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* Paper submission deadline: April 7, 2013
* Notification of acceptance: April 15, 2013
* Camera-Ready Accepted Papers Due: April 25, 2013
* GECCO-2013: July 06-10, 2013

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Workshop Chairs
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- Gisele L. Pappa - UFMG (Federal University of Minas Gerais), Brazil
glpappa -at- dcc.ufmg.br
- John Woodward - University of Stirling, United Kingdom.
jrw -at- cs.stir.ac.uk
- Jerry Swan - University of Stirling, United Kingdom.
jsw -at- cs.stir.ac.uk
Krzysztof Krawiec - Poznan University of Technology, Poland.
krawiec -at- cs.put.poznan.pl

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For more details, please visit the workshop website at:
http://homepages.dcc.ufmg.br/~glpappa/workshop.html
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GECCO is sponsored by the Association for Computing Machinery Special
Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG
Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA,
1-800-342-6626 1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).
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