A novel approach on evolutionary dynamics analysis - A progress report

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10237788" target="_blank" >RIV/61989100:27240/17:10237788 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1877750317301126" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877750317301126</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jocs.2017.08.010" target="_blank" >10.1016/j.jocs.2017.08.010</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A novel approach on evolutionary dynamics analysis - A progress report

Popis výsledku v původním jazyce

In this paper, we discuss the possibility of unique mutual fusion of evolutionary algorithms, complex networks, strange dynamics and hidden attractors. As demonstrated in many research papers, evolutionary algorithms are capable of very complex tasks such as chaotic system control, identification or synthesis and vice versa; chaos can also be observed in the evolutionary dynamics, as originally demonstrated by various researchers. We propose a novel approach on how to analyze and control dynamic of the evolutionary algorithm and also discuss the possibility of strange dynamics analysis that can be a part of dynamic of evolutionary algorithms. In any words, we propose to understand algorithms as a discrete dynamical system that exhibits a wide spectrum of the behavior that can be controlled and analyzed. © 2017 Elsevier B.V.

Název v anglickém jazyce

A novel approach on evolutionary dynamics analysis - A progress report

Popis výsledku anglicky

In this paper, we discuss the possibility of unique mutual fusion of evolutionary algorithms, complex networks, strange dynamics and hidden attractors. As demonstrated in many research papers, evolutionary algorithms are capable of very complex tasks such as chaotic system control, identification or synthesis and vice versa; chaos can also be observed in the evolutionary dynamics, as originally demonstrated by various researchers. We propose a novel approach on how to analyze and control dynamic of the evolutionary algorithm and also discuss the possibility of strange dynamics analysis that can be a part of dynamic of evolutionary algorithms. In any words, we propose to understand algorithms as a discrete dynamical system that exhibits a wide spectrum of the behavior that can be controlled and analyzed. © 2017 Elsevier B.V.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Journal of Computational Science

ISSN

1877-7503

e-ISSN

—

Svazek periodika

In Press

Číslo periodika v rámci svazku

In Press

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

"In Press"

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85028324402