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  • This paper first proposes a simple scheme for adapting the chemotactic step size of the Bacterial Foraging Optimization Algorithm (BFOA), and then this new adaptation and two very popular optimization techniques called Partic le Swarm Optimization (PSO) and Differential Evolution (DE) are coupled in a new hybrid approach named Adaptive Chemotactic Bacterial Swarm Foraging Optimization with Differential Evolution Strategy (ACBSFO-DES). This novel technique has been shown to overcome the problems of premature convergence and slow of both the classical BFOA and the other BFOA hybrid variants over several benchmark problems.
  • This paper first proposes a simple scheme for adapting the chemotactic step size of the Bacterial Foraging Optimization Algorithm (BFOA), and then this new adaptation and two very popular optimization techniques called Partic le Swarm Optimization (PSO) and Differential Evolution (DE) are coupled in a new hybrid approach named Adaptive Chemotactic Bacterial Swarm Foraging Optimization with Differential Evolution Strategy (ACBSFO-DES). This novel technique has been shown to overcome the problems of premature convergence and slow of both the classical BFOA and the other BFOA hybrid variants over several benchmark problems. (en)
Title
  • A Hybrid Computational Chemotaxis in Bacterial Foraging Optimization Algorithm for Global Numerical Optimization
  • A Hybrid Computational Chemotaxis in Bacterial Foraging Optimization Algorithm for Global Numerical Optimization (en)
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  • A Hybrid Computational Chemotaxis in Bacterial Foraging Optimization Algorithm for Global Numerical Optimization
  • A Hybrid Computational Chemotaxis in Bacterial Foraging Optimization Algorithm for Global Numerical Optimization (en)
skos:notation
  • RIV/61989100:27740/13:86089373!RIV14-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
  • 58659
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86089373
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Particle Swarm Optimization; Hybrid Computational Chemotaxis; Differential Evolution; Adaptive Bacterial Foraging Optimization Algorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [260FEAF301F5]
http://linked.open...v/mistoKonaniAkce
  • Lausanne
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • 2013 IEEE International Conference on Cybernetics, CYBCONF 2013
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
  • Alimi, A. M.
  • Bouaziz, S.
  • Jarraya, Y.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CYBConf.2013.6617428
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-6469-0
http://localhost/t...ganizacniJednotka
  • 27740
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