JI Zhen, WANG Yiwei, CHU Ying, et al., “Bacterial Particle Swarm Optimization,” Chinese Journal of Electronics, vol. 18, no. 2, pp. 195-199, 2009,
Citation: JI Zhen, WANG Yiwei, CHU Ying, et al., “Bacterial Particle Swarm Optimization,” Chinese Journal of Electronics, vol. 18, no. 2, pp. 195-199, 2009,

Bacterial Particle Swarm Optimization

  • Received Date: 2006-06-01
  • Rev Recd Date: 2008-08-01
  • Publish Date: 2009-05-25
  • This paper presents a Bacterial particleswarm optimization (BPSO) strategy based on Particleswarm optimization (PSO) and Bacterial foraging algorithm (BFA). The velocity updating and position updating rules of particles are reinforced by two bacterial behaviors, i.e. reproduction and elimination-dispersal. Reproduction is applied to speed up the convergence rate,and elimination-dispersal provides diversity to overcomepremature problem and escape from local optima. Varioussimulation results have demonstrated that the performanceof BPSO is desirable in comparison with PSO and BFA.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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