Call for Papers
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Third European Workshop on Evolutionary Optimization
in Stochastic and Dynamic Environments (EvoSTOC)
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10-12 April, 2006, Budapest, Hungary
Submission deadline: 4 November 2005
http://www.evonet.info/eurogp2006/?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 randomized 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
2006, and in conjunction with EuroGP 2006, the 9th European Conference on Genetic
Programming, and EvoCOP, the European Conference on Evolutionary Computation for
Combinatorial Optimization Problems.
The workshop's 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
* theoretical results
== Submission procedure ==
Manuscripts should be up to 12 pages long in Springer paper format
and must be received no later than 4 November 2005.
Formatting instructions can be found at
http://www.springer.de/comp/lncs/authors.html.
Submission will be through the conference website. Details will be published in due course at
http://www.evonet.info/eurogp2006/?page=evostoc
All submitted papers will be reviewed by at least three members of the
program committee. Please leave the manuscript's authors field empty as
the reviewing process is double-blind.
Authors will be notified via email of the review
results by 12 December 2005. 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 9 January 2006. 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: 4 November 2005
Notification of acceptance: 12 December 2005
Camera ready papers: 9 January 2006
Workshop: 10-12 April 2006
Workshop chairs:
Juergen Branke, Institute AIFB, University of Karlsruhe, Germany,
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Ernesto Costa, Department of Informatics Engineering, University of Coimbra, Portugal
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Dr. Jürgen Branke
Institute AIFB, University of Karlsruhe, Germany
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