A Multiple Core Execution for Multiobjective Binary Particle Swarm Optimization Feature Selection Method with the Kernel P System Framework

Algorithm 1

The entire process of the proposed KP-MObPSO model.

Begin

  (i) Initialize

  Run once to initialize pBestScore

it = 1

 (ii) Evolution

   (a) Run the rules

    by priority to get fitness value and replace with pBestScore in the case fitness < pBestScore

   (b) Converge curve =

   (c) = pBestScore/Converge curve

   (d) if and Converge curve is repeated the same amount at least three times,

     update the binary position of genes from 0 to 1 and from 1 to 0

till it = 100

 (iii) BestScore =

 (iv) collect marker genes