The article explores a way to find approximate solutions to Nash equilibrium in game theory using a method called Differential Evolution. By adapting this algorithm, the researchers were able to find close-to-optimal solutions for the problem. Their experimental analysis showed that this approach is a strong alternative to existing mathematical methods for finding Nash equilibrium in games.