European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments

EvoSTOC '09

April 15-17, 2009

Eberhard Karls Universität, Tübingen, Germany

In many real-world optimisation problems, a wide range of uncertainties has to be taken into account.

Generally, uncertainties in evolutionary optimisation can be categorized into four classes:

1. Noisy fitness function.

2. Approximated fitness function.

3. Robustness.

4. Dynamic fitness function.

The EvoSTOC 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.

Papers are solicited addressing any of the aforementioned four areas and/or their combination with optimisation methods inspired by nature.

Algorithmic solutions for multi-objective/multi-criteria problems and novel implementation of hybrid (memetic) algorithms are warmly encouraged.

Theoretical and empirical results as well as real-world applications are welcome.

Submission Details:

1. Submissions should be no more than 10 pages.

2. Please use LNCS format

3. As EvoSTOC are adopting a double-blind peer review process, please ensure to anonymise your submission by removing all references to the authors.

4. Submissions should be performed through the conference website

Deadline: 5th November.

A limited amount of Travel Bursaries will be granted to students and researchers from developing countries.

For more information and application materials, visit: EvoSTOC European Workshop Website

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