SHADE Algorithm Dynamic Analyzed Through Complex Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517052" target="_blank" >RIV/70883521:28140/17:63517052 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-62389-4_55" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-62389-4_55</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-62389-4_55" target="_blank" >10.1007/978-3-319-62389-4_55</a>
Alternative languages
Result language
angličtina
Original language name
SHADE Algorithm Dynamic Analyzed Through Complex Network
Original language description
In this preliminary study, the dynamic of continuous optimization algorithm Success-History based Adaptive Differential Evolution (SHADE) is translated into a Complex Network (CN) and the basic network feature, node degree centrality, is analyzed in order to provide helpful insight into the inner workings of this state-of-the-art Differential Evolution (DE) variant. The analysis is aimed at the correlation between objective function value of an individual and its participation in production of better offspring for the future generation. In order to test the robustness of this method, it is evaluated on the CEC2015 benchmark in 10 and 30 dimensions.
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
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-331962388-7
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
666-677
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Hong Kong
Event date
Aug 3, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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