Measurements of features of fitness landscapes on competitive co-evolutionary robotics

Open-ended evolution is considered to be caused by several factors, one of which would be co-evolution. Competitive co-evolution can give rise to the “Red Queen effect”, where the fitness landscape of each population is continuously changed by the competing population. Therefore, if such changes are captured, co-evolutionary progress would be measured. In this paper, we investigated features of competitive co-evolutionary fitness landscapes on a predator-prey problem in computer simulations. The results suggest to us that fitness landscapes on competitive co-evolutionary robotics have no correlation with respect to the genetic data obtained at each generation in the evolutionary runs.