Controlling Complexity

Result code in 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>
Alternative codes found
RIV/61989100:27240/14:86092613
Result on the web
<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>

Result language
angličtina
Original language name
Controlling Complexity
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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