The article presents a method to optimize the power pack in hybrid electric vehicles for maximum fuel efficiency. The researchers developed a two-stage framework using Genetic Algorithm and Dynamic Programming to find the best engine-generator configuration and supervisory control. By applying this framework, they were able to achieve the highest fuel economy within the power demand limits of the vehicle's drive cycle.