A power processing optimization methodology is established to effectively conceive a design, to meet all requirement specifications and concurrently optimize a given design quantity deemed particular desirable. Such a quantity can be the weight, efficiency, regulator response, or any other physically-realizable entity. Four design examples are given to demonstrate the methodology. The method of Lagrange multipliers is applied to three examples to acquire optimum solutions are not closed form. When closed-form solutions are not amendable in the other example, a nonlinear programming algorithm is used to conceive the optimum design numerically. Areas of future investigations are outlined to foster the power processing optimization into its ultimate maturity.