Saving computational effort in genetic programming by means of plagues

A new technique for saving computing resources when using genetic programming is presented in this work. Instead of directly fighting bloat $the main factor explaining the large computational cost required for the evaluation of generations - by acting on individuals, we apply a new operator to the whole population: the plague. By removing some individuals every generation, we compensate for the increase in size of individuals, thus saving computing time when looking for solutions.