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CALL FOR PAPERS
evoSTOC 2012: Evolutionary Algorithms in Stochastic and Dynamic Environments
Part of evo* 2012
11-13 April 2012, Malaga, Spain
Submission deadline: 30 November 2011
evo*: http://www.evostar.org
evoSTOC: http://www.evostar.org/2012/call-for-contributions/evomusart/
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evoSTOC 2012, formerly the European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments, is now fully integrated in the evoStar event as a track of the European Conference on the Applications of Evolutionary Computation.
evoSTOC 2012 will be held from 11-13 April, in Malaga, Spain, the capital of the Costa del Sol and one of the most cosmopolitan and open cities in Europe, widely known for its superb weather, food, and hospitality. It offers an excellent environment for participants to enjoy their visit, from the academic and the social point of view.
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 repeatedly re-start the optimization 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 event’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 optimization 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.
Accepted papers will be presented orally at the event and included in the evoapplications proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series.
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Topics of interest
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The papers should concern the use of biologically inspired computer techniques - e.g. Evolutionary Computation, Artificial Neural Networks, Swarm Intelligence, Artificial Life, Artificial Immune Systems and other - in the scope of stochastic and dynamic optimization. Topics of interest include, but are not limited to:
* handling noisy fitness functions
* using fitness approximations
* searching for robust solutions
* tracking moving optima
* multi-objective problems in uncertain environments
* co-evolution and co-dynamics in uncertain environments
* real-world applications
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Important Dates
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Submission deadline: 30 November 2011
Conference: 11-13 April 2012
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Additional information and submission details
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Submit your manuscript, at most 10 A4 pages long, in Springer LNCS format (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0) no later than November 30, 2011 in the site http://myreview.csregistry.org/evoapps12/
The reviewing process will be double-blind, please omit information about the authors in the submitted paper.
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Programme committee
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Enrique Alba (University of Málaga, Spain)
Peter Bosman (Centre for Mathematics and Computer Science, Netherlands)
Juergen Branke (University of Warwick, United Kingdom)
Tan Kay Chen (National University of Singapore)
Ernesto Costa (University of Coimbra, Portugal)
Kalyanmoy Deb (Indian Institute of Technology Kanpur, India)
Andries Engelbrecht (University of Pretoria, South Africa)
A. Sima Etaner-Uyar (Istanbul Technical University, Turkey)
Ferrante Neri (University of Jyväskylä, Finland)
Hendrik Richter (University of Leipzig, Germany)
Philipp Rohlfshagen (University of Essex , United Kingdom)
Briseida Sarasola (University of Málaga, Spain)
Anabela Simões (Coimbra Polytechnic, Portugal)
Renato Tinós (Universidade de São Paulo, Brazil)
Krzysztof Trojanowski (Polish Academy of Sciences, Poland)
Shengxiang Yang (Brunel University, United Kingdom)
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The EvoSTOC 2012 chairs:
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Hendrik Richter
University of Leipzig, Germany
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Anabela Simões
Coimbra Polytecnhic, Portugal
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Anabela Simões
Departamento de Engenharia Informática e de Sistemas
Instituto Superior de Engenharia de Coimbra
Rua Pedro Nunes - Quinta da Nora
3030-199 COIMBRA
http://eden.dei.uc.pt/~abs
http://www.facebook.com/anabela.simoes
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