To obtain the best control performance for gliding Extended Range Munitions (ERMs), the real coding based adaptive genetic algorithm was combined with the best-keeping countermeasure, and corresponding improvement was made to the genetic operations.The improved algorithm was used for optimization of the control parameters.An improved ITAE valuation function was used to get the best dynamic response of the controller during the transition.Taking an ERM pitch angle controller as an example, the improved Powell algorithm, traditional genetic algorithm and the improved genetic algorithm were used respectively to optimize the control parameters.The numerical simulations show that the improved genetic algorithm has the best searching capability.The results are meaningful to the controller design for ERMs.