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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. (en)
  • 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. (cs)
Title
  • On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System
  • Vizualizace diverzity v evolučních algoritmech založená na simulaci fyzikálního systému (cs)
  • On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System (en)
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 (cs)
  • On Visualization of Diversity in Evolutionary Algorithms Based on Simulation of Physical System (en)
skos:notation
  • RIV/68407700:21230/07:03133022!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany
  • Nečíslováno
http://linked.open...avai/riv/aktivita
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  • P(KJB201210701), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...dnocenehoVysledku
  • 439468
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03133022
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • diversity; evolutionary algorithm; niching; visualization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [481D2FF7875A]
http://linked.open...v/mistoKonaniAkce
  • Ljubljana
http://linked.open...i/riv/mistoVydani
  • Vienna
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 6th EUROSIM Congress on Modelling and Simulation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Drchal, Jan
  • Šnorek, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • ARGESIM
https://schema.org/isbn
  • 978-3-901608-32-2
http://localhost/t...ganizacniJednotka
  • 21230
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