Evolution Strategies A.E. Eiben and J.E. Smith, Introduction to Evolutionary Computing Mutation case 3: Correlated mutations Chromosomes:  x 1,…,x n,
{"Image DocumentName": "Mutation case 3: Correlated mutations", "Image ImageDescription": "Chromosomes: \uf0e1 x1,\u2026,xn, \uf0731,\u2026, \uf073n ,\uf0611,\u2026, \uf061k \uf0f1 where k = n \u2022 (n-1)/2. Covariance matrix C is defined as: cii = \uf073i2. cij = 0 if i and j are not correlated. cij = \u00bd \u2022 ( \uf073i2 - \uf073j2 ) \u2022 tan(2 \uf061ij) if i and j are correlated. Note the numbering / indices of the \uf061\u2018s.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}