Subgroup of particle swarm optimization algorithm is composed by a number of particles, each particle' s position represents to optimize the potential of the solution of the problem in the D-dimensional search space. According to the respective positions of each particle is determined with a speed of its flight direction and distance, and then through the optimization function to calculate a fitness function value (fitness).

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