A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management

Table 1

Pseudocode for the PS²O algorithm.

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Set 𝑡∶=0;

INITIALIZE. Randomize 𝑛 swarms each possesses 𝑚 particles;

WHILE (the termination conditions are not met)

  FOR (each swarm k)

    Find in the kth swarm neighborhood, the point with the best fitness;

    Set this point as 𝑝^𝜃_𝑔𝑑;

   FOR (each particle 𝑖 of swarm 𝑘)

     Find in the particle neighborhood, the point with the best fitness;

     Set this point as 𝑝^𝑘_𝑔𝑑;

     Update particle velocity using (4.1);

     Update particle position using (4.2);

   END FOR

  END FOR

  Set 𝑡∶=𝑡+1;

END WHILE

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