Use of the bio-inspired algorithms to find global minimum in force directed layout algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089045" target="_blank" >RIV/61989100:27240/13:86089045 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-38559-9_17" target="_blank" >http://dx.doi.org/10.1007/978-3-642-38559-9_17</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-38559-9_17" target="_blank" >10.1007/978-3-642-38559-9_17</a>

Result language
angličtina
Original language name
Use of the bio-inspired algorithms to find global minimum in force directed layout algorithms
Original language description
We present bio-inspired approach in a process of finding global minimum of an energetic function that is used in force directed layout algorithms. We have been faced with the issue of displaying large graphs. These graphs arise in the analysis of socialnetworks with the need to view social relationships between entities. In order to find global minimum of an energetic function we employ two bio-inspired algorithms: Differential Evolution and Self-Organizing Migration Algorithm (SOMA). Differential evolution is inspired by crossbreeding of population whereas SOMA is inspired by migration of some species. In this article we will present basics of these algorithms, their results and comparison.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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