Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems

@article{Jordehi2015EnhancedLP,
  title={Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems},
  author={A. Rezaee Jordehi},
  journal={Appl. Soft Comput.},
  year={2015},
  volume={26},
  pages={401-417}
}
Particle swarm optimisation (PSO) is a well-established optimisation algorithm inspired from flocking behaviour of birds. The big problem in PSO is that it suffers from premature convergence, that is, in complex optimisation problems, it may easily get trapped in local optima. In this paper, a new PSO variant, ccepted 17 October 2014 vailable online xxx eywords: article swarm optimisation lobal optimisation euristics named as enhanced leader PSO (ELPSO), is proposed for mitigating premature… CONTINUE READING

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Enhanced leader PSO (ELPSO): a new algorithm for allocating distributed TCSC’s in power systems, Int

  • A. Rezaee Jordehi, J. Jasni, N. Abd Wahab, M. Z. Kadir, M. S. Javadi
  • J. Electr. Power Energy Syst
  • 2015
6 Excerpts

An efficient particle swarm optimization technique with chaotic sequence for optimal tuning and placement of PSS in power systems

  • H. Shareef Eslami, A. Mohamed, M. Khajehzadeh
  • Int . J . Electr . Power Energy Syst .
  • 2013

Development of a PSO – SA hybrid metaheuristic for a new comprehensive regression model to time - series forecasting

  • S. Fatemi Ghomi Behnamian
  • Appl . Soft Comput .
  • 2013

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