Research Article
Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization
Algorithm 2
Random Asynchronous PSO (RA-PSO).
(1) Initialization | (2) while not stopping criteria do | (3) while not meet times do |
(4) Randomly choose th particle in a population |
(5) for th particle in a population do |
(6) calculate fitness function |
(7) update pbest and gbest | (8) update the th particle’s velocity and | (9) update the th particle’s position | (10) end for | (11) end while | (12) end while |
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