The effectiveness of utilizing Evolutionary Computation (EC) techniques to optimize aerospace problems has been demonstrated by other researchers. Efforts towards the optimization of an EC technique by using another EC technique, however, are currently lacking. Prior work has implemented Partial Swarm Optimization (PSO) to solve a classic optimization problem in astrodynamics, the Hohmann Transfer. This work examines the effectiveness of implementing a Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) approach to optimize that PSO optimization process.