This concept uses a slider setting for microgrid operations that allows a user to select between "more efficient" and "more resilient". This is similar to the slider setting concept for transactive control, except that they are influencing different technical values. As the slider is set to more efficient, the dispatch and droop values of the generators are adjusted to increase the operating efficiency of the system. This is achieved by moving the operating points of the generators to their most efficient points while still meeting the current load. As the slider is set to more resilient, the dispatch and droop values of the generators are adjusted to minimize the frequency deviation from an expected increase in load or loss of generation. The value of the slider setting could be set by a human operator, or determined as part of a more complex control system. For example, the slider value could be determined as the output of a neural network that is optimization the operation of multiple networked microgrids. In its current state the work is using a modified version of the IEEE-123 node test system with 2 diesel generators and 1 PV inverter. As the slider setting is varied the control system determines the set points for both diesel generators and the PV inverter. The values for each generator include their power outputs and their current droop values for controls. The result is that the single slider setting determines multiple set points on multiple generators. The method is scalable, but the optimization becomes computationally burdensome with large number of generators. This should not be an issue with most operational microgrids.