User Adapted Motor-Imaginary Brain-Computer Interface by means of EEG Channel Selection Based on Estimation of Distributed Algorithms

Algorithm 2

Tree-EDA.

(1)     solutions randomly

(2)    

(3)    do  

(4)        solutions from according to a selection method

(5)       Compute the univariate and bivariate marginal frequencies and of

(6)       Calculate the matrix of mutual information using bivariate and univariate marginals.

(7)       Calculate the maximum weight spanning tree from the matrix of mutual information.

(8)       Compute the parameters of the model.

(9)        solutions (the new population) from the tree and add elitist solutions.

(10)     

(11)     until A stop criterion is met