Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F14%3A86092634" target="_blank" >RIV/61989100:27740/14:86092634 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/14:86092634

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CEC.2014.6900441" target="_blank" >http://dx.doi.org/10.1109/CEC.2014.6900441</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CEC.2014.6900441" target="_blank" >10.1109/CEC.2014.6900441</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Evolutionary Algorithms Dynamics and its Hidden Complex Network Structures

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-08195S" target="_blank" >GA13-08195S: Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

ISBN

978-1-4799-1488-3

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

3246 - 3251

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Beijing

Datum konání akce

6. 7. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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