On the applicability of random and the best solution driven metaheuristics for analytic programming and time series regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522828" target="_blank" >RIV/70883521:28140/19:63522828 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-91189-2_48" target="_blank" >http://dx.doi.org/10.1007/978-3-319-91189-2_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91189-2_48" target="_blank" >10.1007/978-3-319-91189-2_48</a>
Alternative languages
Result language
angličtina
Original language name
On the applicability of random and the best solution driven metaheuristics for analytic programming and time series regression
Original language description
This paper provides a closer insight into applicability and performance of the hybridization of symbolic regression open framework, which is Analytical Programming (AP) and Differential Evolution (DE) algorithm in the task of time series regression. AP can be considered as a robust open framework for symbolic regression thanks to its usability in any programming language with arbitrary driving metaheuristic. The motivation behind this research is to explore and investigate the applicability and differences in performance of AP driven by basic canonical entirely random or best solution driven mutation strategies of DE. An experiment with four case studies has been carried out here with the several time series consisting of GBP/USD exchange rate. The differences between regression/prediction models synthesized using AP as a direct consequence of different DE strategies performances are statistically compared and briefly discussed in conclusion section of this paper.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
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 764
ISBN
978-331991188-5
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
489-498
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Zlín
Event date
Apr 25, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000460247600048