We are looking for wake stabilization in a multi input multi output (MIMO) configuration. The wake results from an obstacle made by three cylinders in an incoming flow. The means of action are the cylinders rotation and the output is the velocity taken downstream. Previous studies have shown that high and low frequency forcing stabilize the wake, revealing the nonlinear interactions. Linear control being not applicable in our case we are looking for an optimal control law regarding drag reduction using genetic programming, a model free MLC approach. Genetic programming can explore a broad spectrum of laws, exploiting the nonlinearities, ranging from open loop control to closed loop control.