If you ever wondered what it looks like when QWOP-like figures learn to walk through mutation as dictated by a simplified genetic algorithm, here’s your answer. Rafael Matsunaga made a simulation that starts with a bunch of walkers, and the one that stays upright the longest moves on to the next generation. Adjust the probability of mutation and the amount, and there’s a chance the next generation of walkers could go further.
Genetic algorithm walkers
Projects by Nathan Yau See All →
Working on Tips, by State
What percentage of a waiter and waitress’s income comes from tips and what comes from salary? The calculation isn’t straightforward but we can try.
One Drink Per Day, Your Chances of Developing an Alcohol-Related Condition
While a drink a day might increase your risk of experiencing an alcohol-related condition, the change is low in absolute numbers.
Shifting Causes of Death
The most common causes of death changed over the years. They vary across sex and age group. This animation shows the details of these changes.