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In this paper，a new simultaneous optimization methodology is proposed and applied to active control of piezoelectric laminate beams.A flnite element method is used to model the optimal distribution of a conventional beam structure,a homogenization approach is developed to allocate piezoelectric materials to obtain smart sensors/actuators,and a linear quadratic regulator(LQR)is applied for the control law. The parallel genetic algorithm based active structure design code was developed ,including ABAQUS(R)for model development and matlab(R)for control design.During the optimization process，structural material and smart material were removed from the cells to minimize a cost function which based on the control weighting scalar of the LQR. In order to demonstrate the improvement of the control efficiency,the optimally designed system was compared to a conventional design consisting of a cantilever aluminum beam with a PZT patch actuator at the root and 2 PVDF sensors fully covering the beams underside. Simulation and experiment results are presented to show the effectiveness of the proposed design technique.