About: SODOMA: SELF-ORGANIZING MIGRATING ALGORTIHM IN DYNAMIC ENVIRONMENT     Goto   Sponge   NotDistinct   Permalink

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Description
  • Tento příspěvek je experimentální studií zabývající se možností Samoorganizujícího se migračního algoritmu (SOMA) řešit dynamické problémy. Navrhli jsme rozšíření SOMA algoritmu založeného na fenoménu omezeného životního času populace jedinců, aby si udrželi populační diverzitu během změn v prostředí. Testovali jsme chování algoritmu na třech reprezentativních testovacích úlohách zahrnující pohybujícíc se vrchol ve 3rd de Jong funkci a dvou extrémovou časově se obměňující funkci. Experimentální výsledky potvrdily schopnost navrženého dynamického SODOMA algoritmu na efektivní adaptaci prohledávacího procesu nestacionárních globálních optim. (cs)
  • This paper is an experimental study investigating the capability of Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed an extension of SOMA algorithm based on the phenomenon of the limited lifetime of population of individuals to keep the population diversity during the environment changes. We tested the perforamnce of the algorithm on three representative dynamic benchmarks including moving peak, the 3rd de Jong function and two-extremes time varying function. The experimental results confirmed the capabiltiy of the proposed dynamic SODOMA algorithms to effectively adapt the search process towards the nonstationary global optimum.
  • This paper is an experimental study investigating the capability of Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed an extension of SOMA algorithm based on the phenomenon of the limited lifetime of population of individuals to keep the population diversity during the environment changes. We tested the perforamnce of the algorithm on three representative dynamic benchmarks including moving peak, the 3rd de Jong function and two-extremes time varying function. The experimental results confirmed the capabiltiy of the proposed dynamic SODOMA algorithms to effectively adapt the search process towards the nonstationary global optimum. (en)
Title
  • SODOMA: SELF-ORGANIZING MIGRATING ALGORTIHM IN DYNAMIC ENVIRONMENT
  • SODOMA: SELF-ORGANIZING MIGRATING ALGORTIHM IN DYNAMIC ENVIRONMENT (en)
  • SODOMA: SAMOORGANIZUJÍCÍ SE MIGRAČNÍ ALGORITMUS V DYNAMICKÉM PROSTŘEDÍ (cs)
skos:prefLabel
  • SODOMA: SELF-ORGANIZING MIGRATING ALGORTIHM IN DYNAMIC ENVIRONMENT
  • SODOMA: SELF-ORGANIZING MIGRATING ALGORTIHM IN DYNAMIC ENVIRONMENT (en)
  • SODOMA: SAMOORGANIZUJÍCÍ SE MIGRAČNÍ ALGORITMUS V DYNAMICKÉM PROSTŘEDÍ (cs)
skos:notation
  • RIV/70883521:28140/06:63504314!RIV07-MSM-28140___
http://linked.open.../vavai/riv/strany
  • 163-169
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/0271), P(GA102/06/1132), Z(MSM7088352101)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 500073
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/06:63504314
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Numerical optimization; dynamic environment; SOMA; self-organizing; limited lifetime; population diversity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [25AD6C6002D9]
http://linked.open...i/riv/mistoVydani
  • ČR
http://linked.open...i/riv/nazevZdroje
  • 12th International Conference on Soft Computing
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
  • Schwarz, Josef
  • Zelinka, Ivan
  • Kobliha, Miloš
  • Hlavinka, Michal
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně. Fakulta strojního inženýrství
https://schema.org/isbn
  • 80-214-3195-4
http://localhost/t...ganizacniJednotka
  • 28140
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