Differential Evolution Dynamics Modeled by Longitudinal Social Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100219" target="_blank" >RIV/61989100:27240/16:86100219 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1515/jisys-2015-0140" target="_blank" >http://dx.doi.org/10.1515/jisys-2015-0140</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/jisys-2015-0140" target="_blank" >10.1515/jisys-2015-0140</a>
Alternative languages
Result language
angličtina
Original language name
Differential Evolution Dynamics Modeled by Longitudinal Social Network
Original language description
Differential evolution is a population-based algorithm using Darwinian and Mendel principles to find out an optimal solution of difficult problems. In this work, the dynamics of DE algorithm is modeled by a longitudinal social network. Because a population of the DE algorithm is improved in generations, each generation of DE algorithm is represented by one short-interval network. Each short-interval network is created by individuals contributing to the population improvement. On the basis of this model a new parent selection in the mutation operation is presented and well-known benchmark set CEC 2013 Special Session on Real-Parameter Optimization (including 28 functions) is used to evaluate the performance of the proposed algorithm.
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Intelligent Systems
ISSN
0334-1860
e-ISSN
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Volume of the periodical
Neuveden
Issue of the periodical within the volume
Červen 2016
Country of publishing house
DE - GERMANY
Number of pages
9
Pages from-to
1-9
UT code for WoS article
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EID of the result in the Scopus database
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