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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Distributed Self-Organizing Migrating Algorithm And Evolutionary
Scanning |
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Authors: |
Pavel Varacha, Ivan Zelinka |
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Published in:
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ECMS
2008 Proceedings Edited
by: Loucas S. Louca, Yiorgos Chrysanthou, Zuzana Oplatkova, Khalid Al-Begain ISBN:
978-0-9553018-6-5 Doi: 10.7148/2008 22nd
European Conference on Modelling and Simulation, Nicosia, June
3-6, 2008 |
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Citation
format: |
Varacha, P., & Zelinka,
I. (2008). Distributed Self-Organizing Migrating Algorithm And Evolutionary
Scanning. ECMS 2008 Proceedings edited by: L. S. Louca,
Y. Chrysanthou, Z. Oplatkova,
K. Al-Begain (pp.
201-206). European Council for Modeling and Simulation. doi:10.7148/2008-0201 |
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DOI: |
http://dx.doi.org/10.7148/2008-0201 |
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Abstract: |
This
paper presents an idea of new algorithm combining advantages of evolutionary
algorithm and simple distributed computing to perform tasks which required
many re-runs of the same program. Computing time is shorted due to elementary
distribution within a number of common computers via the Internet.
Progressive .NET Framework technology allowing this algorithm to run
effectively and examples of possible usage are also described. The algorithm deals with a problem
of synthesis of the artificial neural networks using the evolutional scanning
method. The basic task to be solved is to create a symbolic regression
algorithm on principles of analytic programming, which will be capable of
performing a convenient neural network synthesis. The main motivation here is
the computerization of such synthesis and discovering so far unknown
solutions. |
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