NEWS: Submission deadline is extended until April 5th!
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7th Workshop on Evolutionary Computation for the Automated Design of Algorithms
(ECADA)
July 15-19, 2017 @ GECCO 2017, Berlin, Germany
http://web.mst.edu/~tauritzd/ECADA/GECCO2017/
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CALL FOR PAPERS
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We welcome original submissions on all aspects of Evolutionary Computation for
the Automated Design of Algorithms, in particular, evolutionary computation
methods and other hyper-heuristics for the automated design, generation or
improvement of algorithms that can be applied to any instance of a target
problem domain. Relevant methods include methods that evolve whole algorithms
given some initial components as well as methods that take an existing
algorithm and improve it or adapt it to a specific domain. Another important
aspect in automated algorithm design is the definition of the primitives that
constitute the search space of hyper-heuristics. These primitives should
capture the knowledge of human experts about useful algorithmic components
(such as selection, mutation and recombination operators, local searches, etc)
and, at the same time, allow the generation of new algorithm variants. Examples
of the application of hyper-heuristics, including genetic programming and
automatic configuration methods, to such frameworks of algorithmic components
are of interest to this workshop, as well as the (possibly automatic) design of
the algorithmic components themselves and the overall architecture of
metaheuristics. Therefore, relevant topics include (but are not limited to):
- Applications of hyper-heuristics, including general-purpose automatic
algorithm configuration methods for the design of metaheuristics, in
particular evolutionary algorithms, and other algorithms for application
domains such as optimization, data mining, machine learning, image
processing, engineering, cyber security, critical infrastructure protection,
and bioinformatics.
- Novel hyper-heuristics, including but not limited to genetic programming
based approaches, automatic configuration methods, and online, offline and
life-long hyper-heuristics, with the stated goal of designing or improving
the design of algorithms.
- Empirical comparison of hyper-heuristics.
- Theoretical analyses of hyper-heuristics.
- Studies on primitives (algorithmic components) that may be used by
hyper-heuristics as the search space when automatically designing algorithms.
- Automatic selection/creation of algorithm primitives as a preprocessing step
for the use of hyper-heuristics.
- Analysis of the trade-off between generality and effectiveness of different
hyper-heuristics or of algorithms produced by a hyper-heuristic.
- Analysis of the most effective representations for hyper-heuristics (e.g.,
Koza style Genetic Programming versus Cartesian Genetic Programming).
- Asynchronous parallel evolution of hyper-heuristics.
After presenting his well-received paper on autoconstructive evolutionary
algorithms at ECADA@GECCO 2016, Lee Spector will be returning to ECADA@GECCO
2017 as our invited speaker!
For more detailed information, see the ECADA workshop website
(http://web.mst.edu/~tauritzd/ECADA/GECCO2017/).
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IMPORTANT DATES
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Workshop paper submission deadline: April 5th, 2017
Notification of acceptance: April 15th, 2017
Camera-ready deadline: May 1st, 2017
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PAPER SUBMISSION
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Submitted papers may not exceed 8 pages and are required to be in compliance
with the GECCO 2017 Call for Papers Preparation Instructions. However, note
that the review process of the workshop is not double-blind; hence, authors'
information should be included in the paper. Submit your paper in PDF format by
e-mail, with subject "Submission to ECADA @GECCO2017", to all three e-mail
addresses: [log in to unmask]; [log in to unmask];
[log in to unmask]
All accepted papers will be presented at the workshop and appear in the GECCO
Conference Companion Proceedings.
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WORKSHOP SCHEDULE
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The schedule will be announced on the workshop website shortly after the paper
acceptance notification deadline.
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ORGANIZERS (in alphabetical order)
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Manuel López-Ibáñez ([log in to unmask])
Daniel R. Tauritz ([log in to unmask])
John R. Woodward ([log in to unmask])
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