CUDA-based Analytic Programming by Means of SOMA Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096804" target="_blank" >RIV/61989100:27240/15:86096804 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86096804
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-19824-8_14" target="_blank" >http://dx.doi.org/10.1007/978-3-319-19824-8_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-19824-8_14" target="_blank" >10.1007/978-3-319-19824-8_14</a>
Alternative languages
Result language
angličtina
Original language name
CUDA-based Analytic Programming by Means of SOMA Algorithm
Original language description
Analytic programming is one of methods of symbolic regression that is composing simple elements into more complex units. This process can be used e.g. for approximation of measured data with suitable mathematical formula. To find the most suitable mathematical formula, it is necessary to use an evolutionary algorithm. The constructed formulas can consist of mathematical operators, functions, variables and constants. Since values of these constants are not known at the time of construction of the formula, it is necessary to estimate the values by means of another evolutionary algorithm. Unfortunately, due to this estimation, the whole process becomes too slow. Therefore, this algorithm is implemented in one of the most widespread programming architecture NVIDIA CUDA and the results in terms of execution time are compared.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in intelligent systems and computing. Volume 378
ISBN
978-3-319-19823-1
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
171-180
Publisher name
Springer
Place of publication
London
Event location
Brno
Event date
Jun 23, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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