Complex network analysis in PSO as an fitness landscape classifier
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875454" target="_blank" >RIV/70883521:28140/16:43875454 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7744211/" target="_blank" >http://ieeexplore.ieee.org/document/7744211/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2016.7744211" target="_blank" >10.1109/CEC.2016.7744211</a>
Alternative languages
Result language
angličtina
Original language name
Complex network analysis in PSO as an fitness landscape classifier
Original language description
In this paper, an initial small-scale study is carried out. It is proposed that using the complex network analysis it may be possible to make a classification of the fitness landscape type. A complex network is constructed from the inner dynamics of the population in PSO algorithm. The mean and maximal number of links in the network is then evaluated alongside with other basic statistic characteristics. It is shown on a basic function set that the number of links in the networks may vary significantly when facing unimodal and multimodal problems. Initial visualizations of the constructed complex networks are presented and the results are discussed with proposals for future research and possible future applications of this method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE Congress on Evolutionary Computation, CEC 2016
ISBN
978-150900622-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3332-3337
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway, New Jersey
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390749103067