Controlling Complexity

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43870528" target="_blank" >RIV/70883521:28140/14:43870528 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/14:86092613

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-00254-5_11" target="_blank" >http://dx.doi.org/10.1007/978-3-319-00254-5_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-00254-5_11" target="_blank" >10.1007/978-3-319-00254-5_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Controlling Complexity

Popis výsledku v původním jazyce

Complex systems and dynamics are present in many parts of daily life and branches of science. This chapter is continuation of our previous research, that introduced a novelty method of visualization and possible control of complex networks, that are usedto visualize dynamics of evolutionary algorithms. Selected evolutionary algorithms are used as an example in order to show how its behavior can be understood as complex network and controlled via conversion into CML system?a model based on mutually joined nonlinear n equations. The main aim of this investigation was to show that dynamics of evolutionary algorithms can be converted via complex network to CML system and then controlled. Selected results of conversion of evolutionary dynamics into complexnetwork and consequently to CML as well as controlled CML system are discussed here.

Název v anglickém jazyce

Controlling Complexity

Popis výsledku anglicky

Complex systems and dynamics are present in many parts of daily life and branches of science. This chapter is continuation of our previous research, that introduced a novelty method of visualization and possible control of complex networks, that are usedto visualize dynamics of evolutionary algorithms. Selected evolutionary algorithms are used as an example in order to show how its behavior can be understood as complex network and controlled via conversion into CML system?a model based on mutually joined nonlinear n equations. The main aim of this investigation was to show that dynamics of evolutionary algorithms can be converted via complex network to CML system and then controlled. Selected results of conversion of evolutionary dynamics into complexnetwork and consequently to CML as well as controlled CML system are discussed here.

Druh

C - Kapitola v odborné knize

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

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

How Nature Works

ISBN

978-3-319-00253-8

Počet stran výsledku

40

Strana od-do

237-276

Počet stran knihy

290

Název nakladatele

Springer-Verlag Berlin

Místo vydání

Heidelberg

Kód UT WoS kapitoly

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