Gaussian adaptation (GA) is an evolutionary algorithm designed for the maximization of manufacturing yield due to statistical deviation of component values of signal processing systems. In short, GA is a stochastic adaptive process where a number of samples of an n-dimensional vector x[x = (x1, x2, ..., xn)] are taken from a multivariate Gaussian distribution, N(m − x),...
