On relation between swarm and evolutionary dynamics and complex networks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244246" target="_blank" >RIV/61989100:27240/19:10244246 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/70883521:28140/19:63522834 RIV/61989100:27740/19:10244246
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-3-030-00075-2_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-00075-2_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00075-2_9" target="_blank" >10.1007/978-3-030-00075-2_9</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
On relation between swarm and evolutionary dynamics and complex networks
Popis výsledku v původním jazyce
This paper is an introduction to a novel method for visualizing the dynamics of evolutionary algorithms in the form of networks. The whole idea is based on the obvious similarity between interactions between individuals in a swarm and evolutionary algorithms and for example, users of social networks, linking between web pages, etc. In this paper, two completely different areas of research are merged: (complex) networks and evolutionary computation. As already mentioned, interactions among the individuals in a swarm and evolutionary algorithms can be considered like user interactions in social networks or just people in society. This induces hypothesis whether interactions inside of EAs can be taken like interactions in society or swarm colonies. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a network is discussed, as well as between edges in a network and communication between individuals in a population. (C) Springer Nature Switzerland AG 2019.
Název v anglickém jazyce
On relation between swarm and evolutionary dynamics and complex networks
Popis výsledku anglicky
This paper is an introduction to a novel method for visualizing the dynamics of evolutionary algorithms in the form of networks. The whole idea is based on the obvious similarity between interactions between individuals in a swarm and evolutionary algorithms and for example, users of social networks, linking between web pages, etc. In this paper, two completely different areas of research are merged: (complex) networks and evolutionary computation. As already mentioned, interactions among the individuals in a swarm and evolutionary algorithms can be considered like user interactions in social networks or just people in society. This induces hypothesis whether interactions inside of EAs can be taken like interactions in society or swarm colonies. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a network is discussed, as well as between edges in a network and communication between individuals in a population. (C) Springer Nature Switzerland AG 2019.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Springer Proceedings in Complexity. Volume 1
ISBN
978-3-030-00074-5
ISSN
2213-8684
e-ISSN
2213-8692
Počet stran výsledku
16
Strana od-do
245-260
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Cancún
Datum konání akce
17. 9. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—