Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106331" target="_blank" >RIV/00216305:26230/13:PU106331 - isvavai.cz</a>
Výsledek na webu
<a href="http://link.springer.com/chapter/10.1007/978-3-642-38703-6_5" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-38703-6_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-38703-6_5" target="_blank" >10.1007/978-3-642-38703-6_5</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm
Popis výsledku v původním jazyce
The particle swarm collective intelligence has been recognized as a tool for dealing with the optimization of multimodal functions with many local optima. In this article, a research work is introduced in which the cooperative Particle Swarm Optimization strategies are analysed and the collective intelligence of the particle swarm is assessed according to the proposed Maturity Model. The model is derived from the Maturity Model of C2 (Command and Control) operational space and the model of Collaborating Software. The aim was to gain a more thorough explanation of how the intelligent behaviour of the particle swarm emerges. It has been concluded that the swarm system is not mature enough because of the lack of the systems awareness, and that a solution would be some adaptation of particles behavioural rules so that the particle could adjust its velocity using control parameters whose value would be derived from inside of the swarm system, without tuning.
Název v anglickém jazyce
Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm
Popis výsledku anglicky
The particle swarm collective intelligence has been recognized as a tool for dealing with the optimization of multimodal functions with many local optima. In this article, a research work is introduced in which the cooperative Particle Swarm Optimization strategies are analysed and the collective intelligence of the particle swarm is assessed according to the proposed Maturity Model. The model is derived from the Maturity Model of C2 (Command and Control) operational space and the model of Collaborating Software. The aim was to gain a more thorough explanation of how the intelligent behaviour of the particle swarm emerges. It has been concluded that the swarm system is not mature enough because of the lack of the systems awareness, and that a solution would be some adaptation of particles behavioural rules so that the particle could adjust its velocity using control parameters whose value would be derived from inside of the swarm system, without tuning.
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
—
Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2013
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
Advances in Swarm Intelligence
ISBN
978-3-642-38702-9
ISSN
0302-9743
e-ISSN
—
Počet stran výsledku
15
Strana od-do
40-54
Název nakladatele
Springer Verlag
Místo vydání
Heidelberg
Místo konání akce
Harbin, Čína
Datum konání akce
12. 6. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—