The Genetic Algorithm Framework displays how a genetic algorithm uses evolution to solve impossible problems. Genetic Algorithms are used to solve difficult problems, such as shipping millions of packages around the world, or sending thousands of trucks across the country in the most efficient way. This program displays how a "traveling salesperson" problem is solved by a genetic algorithm. The traveling salesperson problem is a salesman who needs to go to N number of cities in the shortest distance possible. There are millions of different possibilities to this problem, and therefore impossible for a human or a brute force computer could figure out in a reasonable amount of time. Genetic Algorithms use evolution to solve this problem. This version is the first release on CNET Download.com.