The Influence of Archive Size to SHADE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517061" target="_blank" >RIV/70883521:28140/17:63517061 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-57261-1_51" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-57261-1_51</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-57261-1_51" target="_blank" >10.1007/978-3-319-57261-1_51</a>
Alternative languages
Result language
angličtina
Original language name
The Influence of Archive Size to SHADE
Original language description
This research analyzes the current archive of inferior solutions used in Success-History based Adaptive Differential Evolution (SHADE) and tests its influence on the result of optimization. A novel Enhanced Archive (EA) is analyzed in the same way and the results are compared. In order to compare both methods on different types of test functions, CEC2015 benchmark set was used as the test bed. Results suggest that there is a possibility for further research because current existing archive implementations do not provide sufficient benefits to the optimization algorithm.
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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Intelligence Trends in Intelligent Systems, CSOC2017, VOL 1 Book Series: Advances in Intelligent Systems and Computing
ISBN
978-3-319-57260-4
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
11
Pages from-to
517-527
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Zlín
Event date
Apr 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000405337000051