Case Study of Evolutionary Process Visualization Using Complex Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089046" target="_blank" >RIV/61989100:27240/13:86089046 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_13" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-00542-3_13</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_13" target="_blank" >10.1007/978-3-319-00542-3_13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Case Study of Evolutionary Process Visualization Using Complex Networks

Popis výsledku v původním jazyce

This paper presents a case study of visualization of evolutionary process using complex network. Our previous research focused on application of evolutionary algorithms on finding global minimum of energetic function obtained in Force-directed graph drawing algorithm. This research has been combined with novel method for visualization of Differential Evolution (DE) and Self-Organizing Migration Algorithm (SOMA) process. We have developed and run our own algorithms, visualized and analyzed evolutionary complex networks obtained from their process. This paper presents improvements to the evolutionary network visualization by observing changes of some of the complex network properties during evolution. We also propose further improvements to the evolutionary network visualization.

Název v anglickém jazyce

Case Study of Evolutionary Process Visualization Using Complex Networks

Popis výsledku anglicky

This paper presents a case study of visualization of evolutionary process using complex network. Our previous research focused on application of evolutionary algorithms on finding global minimum of energetic function obtained in Force-directed graph drawing algorithm. This research has been combined with novel method for visualization of Differential Evolution (DE) and Self-Organizing Migration Algorithm (SOMA) process. We have developed and run our own algorithms, visualized and analyzed evolutionary complex networks obtained from their process. This paper presents improvements to the evolutionary network visualization by observing changes of some of the complex network properties during evolution. We also propose further improvements to the evolutionary network visualization.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Advances in Intelligent Systems and Computing. Volume 210

ISSN

2194-5357

e-ISSN

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Svazek periodika

210

Číslo periodika v rámci svazku

2194-5357

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

11

Strana od-do

125-135

Kód UT WoS článku

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EID výsledku v databázi Scopus

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