On Evaluation of Evolutionary Networks Using New Temporal Centralities Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096910" target="_blank" >RIV/61989100:27240/15:86096910 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/15:86096910

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7312093&newsearch=true&queryText=zelinka%20incos" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7312093&newsearch=true&queryText=zelinka%20incos</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/INCoS.2015.95" target="_blank" >10.1109/INCoS.2015.95</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On Evaluation of Evolutionary Networks Using New Temporal Centralities Algorithm

Popis výsledku v původním jazyce

In this paper, we are continuing to show mutual intersection of two different areas of research: complex networks and evolutionary computation. We demonstrate that dynamics of evolutionary 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 in our previous papers were currently numerical demonstration rather than theoretical mathematical proofs. We opened question whether evolutionary algorithms really create complex network structures and whether this knowledge can be successfully used like feedback for control of evolutionary dynamics and its improvement inorder to increase the performance of evolutionary algorithms. This research paper is focused on the dynamics of complex networks from windows time point of view with proposition of a new windows time algorithm to evaluated evolution dyna

Název v anglickém jazyce

On Evaluation of Evolutionary Networks Using New Temporal Centralities Algorithm

Popis výsledku anglicky

In this paper, we are continuing to show mutual intersection of two different areas of research: complex networks and evolutionary computation. We demonstrate that dynamics of evolutionary 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 in our previous papers were currently numerical demonstration rather than theoretical mathematical proofs. We opened question whether evolutionary algorithms really create complex network structures and whether this knowledge can be successfully used like feedback for control of evolutionary dynamics and its improvement inorder to increase the performance of evolutionary algorithms. This research paper is focused on the dynamics of complex networks from windows time point of view with proposition of a new windows time algorithm to evaluated evolution dyna

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA15-06700S" target="_blank" >GA15-06700S: Nekonvenční řízení komplexních systémů</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Intelligent Networking and Collaborative Systems INCoS-2015 : 7th International Conference : proceedings : September 2-4, 2015, Taipei, Tchaj-wan

ISBN

978-1-4673-7694-5

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

334 - 339

Název nakladatele

IEEE

Místo vydání

Danvers

Místo konání akce

Taipei

Datum konání akce

2. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—