Comparison of three novelty approaches to constants (Ks) handling in analytic programming powered by SHADE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522859" target="_blank" >RIV/70883521:28140/19:63522859 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-97888-8_12" target="_blank" >http://dx.doi.org/10.1007/978-3-319-97888-8_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-97888-8_12" target="_blank" >10.1007/978-3-319-97888-8_12</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of three novelty approaches to constants (Ks) handling in analytic programming powered by SHADE
Original language description
This research deals with the comparison of three novelty approaches for constant estimation in analytic programming (AP) powered by Success-history based Differential evolution (SHADE). AP is a tool for symbolic regression tasks which enables to synthesise an analytical solution based on the required behaviour of the system. This paper offers another strategy to already known and used by the AP from the very beginning and approaches published recently in 2016. This paper compares these procedures and the discussion also includes nonlinear fitting and metaevolutionary approach. As the main evolutionary algorithm, a differential algorithm in the version SHADE for the main process of AP is used. The proposed comparison is performed out on quintic, sextic, Sine 3 and Sine 4 benchmark problems.
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)
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 837
ISBN
978-331997887-1
ISSN
21945357
e-ISSN
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Number of pages
12
Pages from-to
134-145
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Brno
Event date
Jun 20, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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