Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871697" target="_blank" >RIV/70883521:28140/14:43871697 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures
Original language description
In this participation, we are continuing to show mutual intersection of two completely different areas of research: complex networks and evolutionary computation. Large-scale networks, exhibiting complex patterns of interaction amongst vertices exist inboth nature and man-made systems (i.e., com- munication networks, genetic pathways, ecological or economical networks, social networks, networks of various scientific collabo- ration etc.) and are a part of our daily life. We demonstrate that dynamics ofevolutionary algorithms, that are based on Darwin theory of evolution and Mendel theory of genetic heritage, can be also visualized as complex networks. Such network can be then analyzed by means of classical tools of complex networks science. Results presented here are currently numerical demonstration rather than theoretical mathematical proofs. We open question whether evolutionary algorithms really create complex network structures and whether this knowledge can be successfully used
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
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2014 IEEE congress on Evolutionary Computation
ISBN
978-1-4799-1487-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3246-3251
Publisher name
IEEE
Place of publication
New Jersey, Piscataway
Event location
Beijing
Event date
Jun 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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