Differential evolution dynamics analysis by complex networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095528" target="_blank" >RIV/61989100:27240/15:86095528 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/article/10.1007/s00500-015-1883-2" target="_blank" >http://link.springer.com/article/10.1007/s00500-015-1883-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00500-015-1883-2" target="_blank" >10.1007/s00500-015-1883-2</a>
Alternative languages
Result language
angličtina
Original language name
Differential evolution dynamics analysis by complex networks
Original language description
Differential evolution is a simple yet efficient heuristic originally designed for global optimization over continuous spaces that has been used in many research areas. The question how to improve its performance is still popular and during the years, many successful methods dealing with optimal setting or hybridization of the control parameters were proposed. In this paper, we propose a novel approach based on modeling of the differential evolution dynamics by complex networks. In each generation, theindividuals are mapped to the nodes and the relationships between them are modeled by the edges of the graph. Thanks to this simple visualization, the interconnection between the differential evolution convergence speed and the weighted clustering coefficients has been revealed. As a consequence, we have focused on the parents selection in the mutation step where the individuals are not selected randomly as usual but on the basis of their weighted clustering coefficients. Our enhancement
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Soft computing
ISSN
1432-7643
e-ISSN
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Volume of the periodical
Neuveden
Issue of the periodical within the volume
Neuveden
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1-15
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84944576775