Call for Papers
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Workshop on Evolutionary Algorithms
for Stochastic and Dynamic Environments (EvoSTOC)
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Lausanne, Switzerland, March 30 - April 1, 2005
Submission deadline: 5 November 2004
http://evonet.lri.fr/eurogp2005/?page=evostoc
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In many real-world optimization problems, a wide range of uncertainties
has to be taken into account. Generally, uncertainties in evolutionary
optimization can be categorized into four classes.
1. Noisy fitness function.
Noise in fitness evaluations may come from many different sources
such as sensory measurement errors or ranomized simulations.
2. Approximated fitness function.
When the fitness function is very expensive to evaluate, or an
analytical fitness function is not available,
approximated fitness functions are often used instead.
3. Robustness.
Often, when a solution is implemented, the design variables or the
environmental parameters are subject to perturbations or changes.
Therefore, a common requirement is that a solution should still work
satisfyingly either when the design variables change slightly, e.g.,
due to manufacturing tolerances, or when the environmental
parameters vary slightly.
This issue is generally known as the search for robust solutions.
4. Dynamic fitness function.
In a changing environment, it should be possible to
continuously track the moving optimum rather than to repeatedly
re-start the optimization process.
Handling uncertainties in evolutionary computation has received an
increasing interest over the past years. A variety of methods for
addressing uncertainties have been reported from different application
backgrounds. The EvoSTOC workshop will be held as part of EvoWorkshops
2005, the 8th Evolutionary Computing Workshops, and in conjunction with
EuroGP 2005, the 8th European Conference on Genetic Programming. The
workshop objective is to foster interest in the issue of handling
uncertainties, to provide a forum for researchers to meet and a platform
to present and discuss latest research in the field.
Topics of interest may include but are not limited to:
* handling noisy fitness functions
* using fitness approximations
* searching for robust optimal solutions
* tracking moving optima
* sophisticated real-world applications
Submission procedure
Manuscripts should be up to 10 pages long in the Springer paper format
and must be received no later than 5 November 2004. Electronic submission
in either PostScript or PDF format is highly encouraged. Please send your
electronic submission via Email to one of the workshop chairs. The format of
the paper should adhere to the standard Springer LNCS style. Formatting
instructions can be found at
http://www.springer.de/comp/lncs/authors.html.
All submitted papers will be reviewed by at least three members of the
program committee. The reviewing process is double-blind,
meaning that reviewers should not be able to infer the
identities of the authors of the papers that they are reviewing. So please
leave the manuscript's authors field empty.
Authors will be notified via email of the review
results by 10 December 2004. Authors of accepted papers will have to
improve their paper on the basis of the reviewers' comments and will be asked to
send a camera-ready version of their manuscripts by 14 January 2005. By
submitting a camera-ready paper, the author(s) agree that at least one
author will attend and present the paper at the workshop. Accepted papers
will be included in the proceedings of the EvoWorkshops published by
Springer.
Important dates:
Submission deadline: 5 November
Notification of acceptance: 10 December
Camera ready papers: 14 January
Workshop: 30 March - 1 April
Workshop chairs:
Juergen Branke, Institute AIFB, University of Karlsruhe, Germany,
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Yaochu Jin, Honda Research Institute, Offenbach, Germany
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