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Table 1 EDA pseudocode

From: A review of estimation of distribution algorithms in bioinformatics

Set t ← 0. Generate M points randomly
   Evaluate the points using the fitness function
   Select a set S of NM points according to a selection method
   Estimate a probabilistic model for S
   Generate M new points sampling from the distribution represented in the model
   tt + 1
until Termination criteria are met
  1. Estimation of distribution algorithms: evolutionary computation based on learning and simulation of probabilistic graphical models.