Detecting potential design weaknesses in shade through network feature analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517051" target="_blank" >RIV/70883521:28140/17:63517051 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-59650-1_56" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59650-1_56</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59650-1_56" target="_blank" >10.1007/978-3-319-59650-1_56</a>
Alternative languages
Result language
angličtina
Original language name
Detecting potential design weaknesses in shade through network feature analysis
Original language description
This preliminary study presents a hybridization of two research fields – evolutionary algorithms and complex networks. A network is created by the dynamic of an evolutionary algorithm, namely Success-History based Adaptive Differential Evolution (SHADE). Network feature, node degree centrality, is used afterward to detect potential design weaknesses of SHADE algorithm. This approach is experimentally tested on the CEC2015 benchmark set of test functions and future directions in the research are proposed.
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
978-3-319-59649-5
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
662-673
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
La Rioja
Event date
Jun 21, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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