In the last few years, a regulation change, development restrictions, and budget caps came to Formula One. Now, teams have to be intentional with their development resources while competing for fractions of seconds. I propose a set of evolutionary algorithms to allow a team to find car development areas to become up to 18\% faster in as little as 20 minutes. All evolutionary algorithms are able to outperform a comparison algorithm. I also show that evolutionary algorithms can have an impact throughout motorsports with track evolution, which creates circuits in only a couple minutes. In the same years that the teams have changed their spending and testing, we've seen introduction of new tracks and new formats like the Sprint Race. Using evolutionary track generation would allow teams to better understand their car's weaknesses, track designers to not work from scratch, and governments to see possible circuits on their existing infrastructure.