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m →Univariate factorizations: linked learning rate |
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</math>
where <math>\gamma\in(0,1]</math> is a parameter defining the [[learning rate]], a small value determines that the previous model <math>p_t(X_i)</math> should be only slightly modified by the new solutions sampled. PBIL can be described as
<math>
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</math>
where, <math>\gamma\in(0,1]</math> is a constant defining the [[learning rate]], usually set to <math>\gamma=1/N</math>. The CGA can be defined as
<math>
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