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Description
  • This paper is an experimental study investigating the capability of well known Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed a new extension of SOMA algorithm with two new approaches based on multi-population and elite concept. We tested the performance of the algorithm on the artificial benchmark with moving peaks. The experimental results confirmed the capability of the proposed dynamic xSODOMA algorithm to effectively adapt the search process towards the nonstationary global optimum.
  • This paper is an experimental study investigating the capability of well known Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed a new extension of SOMA algorithm with two new approaches based on multi-population and elite concept. We tested the performance of the algorithm on the artificial benchmark with moving peaks. The experimental results confirmed the capability of the proposed dynamic xSODOMA algorithm to effectively adapt the search process towards the nonstationary global optimum. (en)
  • This paper is an experimental study investigating the capability of well known Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed a new extension of SOMA algorithm with two new approaches based on multi-population and elite concept. We tested the performance of the algorithm on the artificial benchmark with moving peaks. The experimental results confirmed the capability of the proposed dynamic xSODOMA algorithm to effectively adapt the search process towards the nonstationary global optimum. (cs)
Title
  • Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study
  • Self-Organizing Migrating Algorithm for Dynamic Problems: An EXperimental study (cs)
  • Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study (en)
skos:prefLabel
  • Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study
  • Self-Organizing Migrating Algorithm for Dynamic Problems: An EXperimental study (cs)
  • Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study (en)
skos:notation
  • RIV/00216305:26230/07:PU70838!RIV08-MSM-26230___
http://linked.open.../vavai/riv/strany
  • 24-29
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/0850), Z(MSM0021630528)
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
  • 449324
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/07:PU70838
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • SOMA algorithm, dynamic environment, limited lifetime, multi-population, AllToElite strategy. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [149DC5D052F1]
http://linked.open...v/mistoKonaniAkce
  • FME, VUT BRNO
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 13th 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
  • Kobliha, Miloš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
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
  • 978-80-214-3473-8
http://localhost/t...ganizacniJednotka
  • 26230
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