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. 2019 Jun 22;21(6):617. doi: 10.3390/e21060617
Algorithm 1: Pseudocode of the basic PSO algorithm
  • 1:

    initialize necessary variables and create swarm population

  • 2:

    repeat

  • 3:

     adjust inertia factor value

  • 4:

     for all particles in population do

  • 5:

      calculate particle fitness

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      if fitness is better than that of the best particle then

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       update best particle and save fitness

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      end if

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     end for

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     for all particles in population do

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      retrieve best particle from neighborhood

  • 12:

      update speed and modify its position

  • 13:

     end for

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    until reaching termination condition

  • 15:

    return solution of best particle in population