Typically the first program you write when you are learning a programming language is, "Hello World!". Due to the popularity of my prior post on optimizing the traveling salesman problem with genetic algorithms I decided to write a general parallelized Genetic Algorithm Framework for LabVIEW, naturally the first thing I taught it to do was to say, "Hello World!".
The Traveling Salesman Problem (TSP) is a problem in Graph Theory requiring the discovery of the most efficient route a salesman can travel through the multiple cities. As an example if the salesman's route included 20 cities he would have to choose the most efficient of 20! = 2432902008176640000 possible routes (If he evaluated one solution every second it would take over 77 Billion years). Having that many possible routes to chose from makes optimization of the solution difficult and the optimization problem gets harder as the number of cities increases.