Enhanced archive for SHADE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63520319" target="_blank" >RIV/70883521:28140/19:63520319 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-97888-8_4" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-97888-8_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-97888-8_4" target="_blank" >10.1007/978-3-319-97888-8_4</a>
Alternative languages
Result language
angličtina
Original language name
Enhanced archive for SHADE
Original language description
This research paper analyses an external archive of inferior solutions used in Success-History based Adaptive Differential Evolution (SHADE) and its variant with a linear decrease in population size L-SHADE. A novel implementation of an archive is proposed and compared to the original one on CEC2015 benchmark set of test functions for two distinctive dimensionality settings. The proposed archive implementation is referred to as Enhanced Archive (EA) and therefore two Differential Evolution (DE) variants are titled EA-SHADE and EA-L-SHADE. The results on CEC2015 benchmark set are analyzed and discussed. © Springer Nature Switzerland AG 2019.
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
16
Pages from-to
40-55
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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