![thishelpssomehow thishelpssomehow](https://chaosworship.net/wp-content/gallery/photos/thumbs/thumbs_thishelpssomehow.jpg)
![gatherscatter gatherscatter](https://chaosworship.net/wp-content/gallery/ink/thumbs/thumbs_gatherscatter.jpg)
![funzies funzies](https://chaosworship.net/wp-content/gallery/photos/thumbs/thumbs_funzies.jpg)
![swinkydlunk swinkydlunk](https://chaosworship.net/wp-content/gallery/digital/thumbs/thumbs_swinkydlunk.png)
![swinkydink swinkydink](https://chaosworship.net/wp-content/gallery/digital/thumbs/thumbs_swinkydink.png)
![phons phons](https://chaosworship.net/wp-content/gallery/ink/thumbs/thumbs_phons.jpg)
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