A new fine grained inertia weight Particle Swarm Optimization

@article{Deep2011ANF,
  title={A new fine grained inertia weight Particle Swarm Optimization},
  author={Kusum Deep and Pinkey Chauhan and Millie Pant},
  journal={2011 World Congress on Information and Communication Technologies},
  year={2011},
  pages={424-429}
}
Particle Swarm Optimization (PSO), analogous to behaviour of bird flocks and fish schools, has emerged as an efficient global optimizer for solving nonlinear and complex real world problems. The performance of PSO depends on its parameters to a great extent. Among all other parameters of PSO, Inertia weight is crucial one that affects the performance of PSO significantly and therefore needs a special attention to be chosen appropriately. This paper proposes an adaptive exponentially decreasing… CONTINUE READING

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Inertia weight control strategies: Particle roaming behavior

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