Tag Archives: stochastic

Generating random numbers which fit a normal distribution is essential for stochastic optimization, especially for continuous evolutionary algorithms. For high-quality results the weapon of choice is the Box–Muller transform. It’s a little expensive; it involves exponents and trigonometry and such. … Continue reading →