EvoSTOC


6th European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments

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:
  • Noisy fitness function. Noise in fitness evaluations may come from many different sources such as sensory measurement errors or randomised simulations.
  • 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.
  • 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.
  • Dynamic fitness function. In a changing environment, it should be possible to continuously track the moving optimum rather than repeatedly re-start the optimisation process. For evolutionary computation in dynamic environments, learning and adaptation usually play an important role. Multi-objective problems may also involve dynamic environments.
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'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. Theoretical results as well as real-world applications are welcome.

Publication details
Accepted papers will be published in a volume of the
Springer Lecture Notes in Computer Science together with papers from other workshops of the EvoStar conference.

Selected papers will be invited an extended version of the manuscript for publication to Memetic Computing Journal, Springer, Thematic Issue on 'Memetic Computing in the Presence of Uncertainties'.

For the list of accepted papers click here.

EvoSTOC Competition
: Yellow Submarine challenge

EvoSTOC Competition Finalists

Team
Shinichi Shirakawa and Tomoharu Nagao
Graduate School of Environment and Information Sciences,
Yokohama National University

Team
Juan R. González, Ignacio J. García and David A. Pelta
University of Granada


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Submission Details

  • Please use LNCS format    

  • Submissions should be no more than 10 pages in english

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


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Chairs and Programme Committee

Program Chairs
Shengxiang Yang, University of Leicester, UK - s.yang AT mcs.le.ac.uk
Ferrante Neri, University of Jyväskylä, Finland - neferran AT cc.jyu.fi

EvoSTOC2009 Programme Committee (tentative)
Dirk Arnold, Dalhousie University, Canada
Thomas Bartz-Beielstein, Cologne University of Applied Sciences, Germany
Hans-Georg Beyer, Vorarlberg University of Applied Sciences, Austria
Tim Blackwell, Goldsmiths College London, UK
Peter Bosman, Centre for Mathematics and Computer Science, Netherlands
Juergen Branke, University of Karlsruhe, Germany
Andrea Caponio, Technical University of Bari, Italy
Hui Cheng, University of Leicester, UK
Ernesto Costa, University of Coimbra, Portugal
Kalyanmoy Deb, Indian Institute of Technology Kanpur, India
Anna I Esparcia-Alcazar, Instituto Tecnologico de Informatica, Spain
Chi-Keong Goh, Data Storage Institute, Singapore
Yaochu Jin, Honda Research Institute Europe, Germany
Anna Kononova, University of Leeds, UK
Jouni Lampinen, University of Vaasa, Finland
Xiaodong Li, RMIT University, Australia
Meng-Hiot Lim, Nanyang Technological University, Singapore
Timo Mantere, University of Vaasa, Finland
Daniel Merkle, University of Southern Denmark, Denmark
Zbigniew Michalewicz, University of Adelaide, Australia
Kaisa Miettinen, University of Jyväskylä, Finland
Ronald Morrison, Mitretek Systems, Inc., USA
Yew-Soon Ong, Nanyang Technological University, Singapore
William Rand, Northwestern University, USA
Hendrik Richter, University of Leipzig, Germany
Philipp Rohlfshagen, University of Birmingham, UK
Anabela Simoes, University of Coimbra, Portugal
Kay Chen Tan, National University of Singapore, Singapore
Renato Tinós, Universidade de Sao Paulo, Brazil
Ville Tirronen, University of Jyväskylä, Finland
Sima Uyar, Istanbul Technical University, Turkey
Gary Y. Yen, Oklahoma State University, USA
Qingfu Zhang, University of Essex, UK
Aimin Zhou, University of Essex, UK

Publicity Chair
Ivanoe De Falco, ICAR, National Research Council of Italy, Italy - ivanoe.defalco(at)na.icar.cnr.it

Evo* Local Chair
Marc Ebner, Universität Tübingen,Germany - marc.ebner(at)wsii.uni-tuebingen.de

Evo* Coordinator and Administrative Contact
Jennifer Willies, The Centre for Informatics Research, Napier University, Scotland, UK. - j.willies(at)napier.ac.uk