The Tartarus grid robot problem has been used for years to test different schemes to control grid robots. While there is a large amount of information available, there is no conclusive evidence as to whether there is a benefit to maintaining solution diversity in the population or to compare it to other test problems. This work investigates the affect of using Graph Based Evolutionary Algorithms to examine and classify the Tartarus problem using ISAc list controllers. By changing the underlying graph, it is possible to control the rate at information is spread, allowing the user to control the rate at...