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Hello, I am intersted in evolving solutions to a agent based control problem where the solution consists of 3 GP trees. It seems that it would be possible for me to either approach this from a coevolutionary perspective and maintain 3 populations of single-tree individuals, or have a single population where each individual consists of 3 GP trees. (All trees use the same set of parameters/function operators). What would be the difference between using these two approaches? It seems to me that given each of the 3 functions have a very different purpose, coevolution would be a more techinically accurate path of evolution. However, it also seems to be more computationally intensive. Any guidance would be greatly appreciated. Thanks, Bill