This HTML5 document contains 48 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n16http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n18http://localhost/temp/predkladatel/
n10http://purl.org/net/nknouf/ns/bibtex#
n21http://linked.opendata.cz/resource/domain/vavai/projekt/
n7http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n3http://linked.opendata.cz/ontology/domain/vavai/
n15http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F07%3A03133022%21RIV08-AV0-21230___/
n22http://linked.opendata.cz/resource/domain/vavai/zamer/
n8https://schema.org/
shttp://schema.org/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n19http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n11http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F07%3A03133022%21RIV08-AV0-21230___
rdf:type
n3:Vysledek skos:Concept
dcterms:description
EAs can be seen as algorithms which traverse the search-space in a parallel way. Diversity is an essential aspect of each EA. The lack of diversity is a common problem. Diversity should be preserved in order to evade local extremes (premature convergence). Niching EA is based on dividing the population into separate subpopulations - it spreads the organisms effectively all over the search-space and hence making the overall population diverse. Using niching methods also requires setting of their parameters, which can be very difficult. This paper presents a novel way of diversity visualization based on physical system simulation. It is inspired by intermolecular forces and employs overall energy minimization. This minimization is done via known unconstrained optimization numerical methods. The visualization is helpful when designing and tuning niching algorithms, but it has also other uses. EAs can be seen as algorithms which traverse the search-space in a parallel way. Diversity is an essential aspect of each EA. The lack of diversity is a common problem. Diversity should be preserved in order to evade local extremes (premature convergence). Niching EA is based on dividing the population into separate subpopulations - it spreads the organisms effectively all over the search-space and hence making the overall population diverse. Using niching methods also requires setting of their parameters, which can be very difficult. This paper presents a novel way of diversity visualization based on physical system simulation. It is inspired by intermolecular forces and employs overall energy minimization. This minimization is done via known unconstrained optimization numerical methods. The visualization is helpful when designing and tuning niching algorithms, but it has also other uses. EAs can be seen as algorithms which traverse the search-space in a parallel way. Diversity is an essential aspect of each EA. The lack of diversity is a common problem. Diversity should be preserved in order to evade local extremes (premature convergence). Niching EA is based on dividing the population into separate subpopulations - it spreads the organisms effectively all over the search-space and hence making the overall population diverse. Using niching methods also requires setting of their parameters, which can be very difficult. This paper presents a novel way of diversity visualization based on physical system simulation. It is inspired by intermolecular forces and employs overall energy minimization. This minimization is done via known unconstrained optimization numerical methods. The visualization is helpful when designing and tuning niching algorithms, but it has also other uses.
dcterms:title
Vizualizace diverzity v evolučních algoritmech založená na simulaci fyzikálního systému On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System
skos:prefLabel
On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System Vizualizace diverzity v evolučních algoritmech založená na simulaci fyzikálního systému On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System
skos:notation
RIV/68407700:21230/07:03133022!RIV08-AV0-21230___
n6:strany
Nečíslováno
n6:aktivita
n14:Z n14:P
n6:aktivity
P(KJB201210701), Z(MSM6840770012)
n6:dodaniDat
n11:2008
n6:domaciTvurceVysledku
n7:9121870 n7:7035586
n6:druhVysledku
n17:D
n6:duvernostUdaju
n13:S
n6:entitaPredkladatele
n15:predkladatel
n6:idSjednocenehoVysledku
439468
n6:idVysledku
RIV/68407700:21230/07:03133022
n6:jazykVysledku
n19:eng
n6:klicovaSlova
diversity; evolutionary algorithm; niching; visualization
n6:klicoveSlovo
n9:diversity n9:niching n9:evolutionary%20algorithm n9:visualization
n6:kontrolniKodProRIV
[481D2FF7875A]
n6:mistoKonaniAkce
Ljubljana
n6:mistoVydani
Vienna
n6:nazevZdroje
Proceedings of the 6th EUROSIM Congress on Modelling and Simulation
n6:obor
n12:IN
n6:pocetDomacichTvurcuVysledku
2
n6:pocetTvurcuVysledku
2
n6:projekt
n21:KJB201210701
n6:rokUplatneniVysledku
n11:2007
n6:tvurceVysledku
Šnorek, Miroslav Drchal, Jan
n6:typAkce
n16:WRD
n6:zahajeniAkce
2007-09-09+02:00
n6:zamer
n22:MSM6840770012
s:numberOfPages
9
n10:hasPublisher
ARGESIM
n8:isbn
978-3-901608-32-2
n18:organizacniJednotka
21230