id summary reporter owner description type status priority milestone component version resolution keywords cc 1386 Mutation of constant factors should not simply add a normally distributed value but a value sampled from a mixture of Gaussians gkronber gkronber "Now mutation of constants and variable weights is: {{{ f = f + x x ~ N(0,sigma), }}} where sigma is a parameter supplied by the user. This should be changed as suggested by maffenze to the following more complex adaption routine that is arguably more robust. {{{ f = f + y y ~ N(0,s) s ~ U(0, s_max), }}} where s_max is a parameter supplied by the used. For variables s_max should automatically set to: {{{ s_max = s_user * Var(x_i), }}} Where s_user is a user supplied parameter and Var(x_i) is the variance of variable x_i over the observations in the training set. " enhancement new low HeuristicLab 4.0 Problems.DataAnalysis 3.3.2 maffenze