Modified Particle Swarm Optimization with student T mutation (STPSO)

  title={Modified Particle Swarm Optimization with student T mutation (STPSO)},
  author={Muahmmad Imran and Zahid Manzoor and Sajid Ali and Qamar Abbas},
  journal={International Conference on Computer Networks and Information Technology},
Particle Swarm Optimization (PSO) is a recognized algorithm for optimization problems, but suffers from premature convergence. To prevent PSO from stagnation in local minima we are going to introduce a novel mutation operator. The proposed mutation operator is based on the student T distribution. The experiment performed on standard benchmark functions represent that proposed variant improves the performance of PSO. 


Publications referenced by this paper.
Showing 1-7 of 7 references

Particle Swarm Optimization

  • J. Kennedy, R. Eberhart
  • Proceedings of IEEE International Conference on…
  • 1995
Highly Influential
3 Excerpts

Particle Swarm Optimization with Dynamic Inertia Weight and Mutation

  • X Liu
  • Third International Conference on Genetic and…
  • 2009
1 Excerpt

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