Call for Papers
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Learning, Adaptation and Approximation in Evolutionary Computation
A full-day workshop within the
Genetic and Evolutionary Computation Conference (GECCO)
July 12 - 16, 2003, Chicago, USA.
URL: http://www.icos.ethz.ch/gecco03/gecco_workshop.html
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Objective & Scope
In this workshop, we will bring together researchers from fields in
machine learning and evolutionary optimization to discuss how the
combination of learning, adaptation, and approximation can improve
the efficiency of evolutionary algorithms. Topics include but are
not limited to
o off-line and on-line learning for approximate model construction,
o off-line and on-line learning for performance improvement,
o step size adaptation techniques for evolution strategies,
o individual learning that guides evolution (Baldwin effect),
o self-organization and dimensionality reduction for evolving
populations
o domain knowledge extraction and reuse,
o evolution control and model management in evolutionary
computation,
o multi-level evolutionary optimization,
o learning in multi-objective evolutionary optimization,
o fitness estimation in noisy environment,
o comparison of different modeling methods, such as neural networks,
response surface, Gaussian processes, least squares methods,
and probabilistic models for evolutionary computation,
o comparison of different sampling techniques for on-line and
off-line learning.
Important Dates:
March 7, Paper submission deadline
March 19, Notification of paper acceptance/rejection.
April 14, Camera ready paper
Submission
Authors should follow the format of the GECCO manuscript style,
refer to http://www.isgec.org/GECCO-2003/ for details.
Manuscripts should not exceed 6 pages. All papers should be sent
per email to Dr. Sibylle Mueller at [log in to unmask] Only
PDF files will be accepted.
Organizers
Dr. Sibylle Mueller, ETH, Zurich, Switzerland
Prof. Petros Koumoutsakos, ETH, Zurich, Switzerland
Prof. Marc Schoenauer, I.N.R.I.A., France
Dr. Yaochu Jin, Honda R&D Europe, Germany
Prof. Sushil Louis, University of Nevada, USA
Prof. Khaled Rasheed, The University of Georgia, USA
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