Scientific Programming / 2018 / Article / Alg 2

Research Article

A Novel Multimean Particle Swarm Optimization Algorithm for Nonlinear Continuous Optimization: Application to Feed-Forward Neural Network Training

Algorithm 2

The pseudocode of the proposed MMPSO algorithm.
Initialize all particles of all swarms with randomly generated position and velocity
Repeat
For each swarm
For each particle in the swarm
Calculate the fitness function
Update the local best of positions
Update the global best position of the swarm
End for
Update the best position of all swarms
End for
For each swarm
For each particle in the swarm
Update the velocity and the position of the particle according to equations (6) and (5)
End for
End for
Until (Stopping criteria met)

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