A genetic algorithm was used to design a morphing leading-edge shape on a slotted natural laminar flow airfoil in order to maximize the airfoil while retaining a constant leading-edge arc length. The MSES program suite was used to evaluate a randomized population of airfoils during the design process at freestream conditions of M = 0.225 and Re = 16×106 to match the low-speed, high-lift conditions for a representative single-aisle commercial transport aircraft. By using different definitions of the objective cost function, multiple airfoil designs were found through the genetic algorithm to create a library of possible designs. MSES simulations conducted on the selected airfoil design currently envisaged for the high-lift application were found to have a of 2.56 at an angle of attack of 23.0°. Additional variants of the airfoil were also produced to purposefully alleviate the leading-edge stall tendencies of the baseline airfoil.