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  • A modified differential evolution (DE) algorithm based on opposition based learning and chaotic sequence named Opposition based Chaotic Differential Evolution (OCDE) is proposed. The proposed OCDE algorithm is different from basic DE in two aspects. First is the generation of initial population, which follows Opposition Based Learning (OBL) rules; and the second is: dynamic adaption of scaling factor F using chaotic sequence. The numerical results obtained by OCDE when compared with the results obtained by DE and ODE (opposition based DE) algorithms on eighteen benchmark function demonstrate that the OCDE is able to find a better solution while maintaining a reasonable convergence rate.
  • A modified differential evolution (DE) algorithm based on opposition based learning and chaotic sequence named Opposition based Chaotic Differential Evolution (OCDE) is proposed. The proposed OCDE algorithm is different from basic DE in two aspects. First is the generation of initial population, which follows Opposition Based Learning (OBL) rules; and the second is: dynamic adaption of scaling factor F using chaotic sequence. The numerical results obtained by OCDE when compared with the results obtained by DE and ODE (opposition based DE) algorithms on eighteen benchmark function demonstrate that the OCDE is able to find a better solution while maintaining a reasonable convergence rate. (en)
Title
  • Opposition based Chaotic Differential Evolution Algorithm for Solving Global Optimization Problems
  • Opposition based Chaotic Differential Evolution Algorithm for Solving Global Optimization Problems (en)
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  • Opposition based Chaotic Differential Evolution Algorithm for Solving Global Optimization Problems
  • Opposition based Chaotic Differential Evolution Algorithm for Solving Global Optimization Problems (en)
skos:notation
  • RIV/61989100:27740/12:86084782!RIV13-MSM-27740___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 156713
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/12:86084782
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • opposition based learning; global optimization; differential evolution; chaotic sequence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [27611A371268]
http://linked.open...v/mistoKonaniAkce
  • Mexico City
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012
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
  • Abraham Padath, Ajith
  • Pant, Millie
  • Thangaraj, Radha
  • Chelliah, Thanga Raj
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/NaBIC.2012.6402168
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-4768-6
http://localhost/t...ganizacniJednotka
  • 27740
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