Cooperative Quantum-Behaved Particle Swarm Optimization with Dynamic Varying Search Areas and Lévy Flight Disturbance

Algorithm 1

Pseudocode of CQPSO-DVSA-LFD.

Initiation;

Label  1: Generation primitive sub-swarms;

Foreach sub-swarm-i In sub-swarms Do

    Calculate the fitness value;

    If (run==first-time)

    Then Update the personal and global optimal position as in QPSO;

    Else Update the personal and global optimal position with;

    Calculate the best particles;

    Check the condition of DVSA, if not satisfied, and then go to the second step.

    Calculate the reduced search area.

End  Foreach

Calculate the fitness value;

Foreach dimension-i In  D Do

    Update the personal and global optimal position;

    Update the particles based on quantum behavior with the Lévy disturbance;

End  Foreach

Calculate the electoral best position;

Test whether satisfy the condition of termination;

If (Meet terminal condition) Then ends

Else repeat from Label  1;

End  If

End.