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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
New
Approach Of Constant Resolving Of Analytical Programming |
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Authors: |
Tomas Urbanek,
Zdenka Prokopova, Radek Silhavy, Ales Kuncar |
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Published in:
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(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
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Citation
format: |
Tomas Urbanek,
Zdenka Prokopova, Radek Silhavy, Ales Kuncar (2016). New Approach Of Constant Resolving Of
Analytical Programming, ECMS 2016 Proceedings edited by: Thorsten Claus,
Frank Herrmann, Michael Manitz, Oliver Rose European Council for Modeling and Simulation. doi:10.7148/2016-0231 |
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DOI: |
http://dx.doi.org/10.7148/2016-0231 |
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Abstract: |
This papers’ aim is to provide the
Artificial Intelligence community with a better tool for symbolic regression.
In this paper, the method of analytical programming and constant resolving is
revisited and extended. Nowadays, analytical programming mainly uses two
methods for constant resolving. The first method is meta-evolution, in which
the second evolutionary algorithm is used for constant resolving. The second
method uses non-linear fitting algorithm. This paper reveals the third
method, which use the basic mathematics to generate constants. The findings
of this study have a number of important implications for future practice. |
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