Particle swarm optimization with opposition-based disturbance

  title={Particle swarm optimization with opposition-based disturbance},
  author={Yuancheng Chi and Guobiao Cai},
  journal={2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)},
Particle swarm optimization (PSO) often traps in the local optimal solutions. In this paper, an opposition-based disturbance procedure was introduced into a basic PSO, which was abbreviated as PSOOD. For this proposed algorithm, opposition-based disturbance was implemented according to the probability when the personal best position was updated for each particle. Such procedure not only avoids the missing of cognition component in the velocity update equation, but also increases the population… CONTINUE READING
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