An approximate solution to an NP-hard discrete optimization problem, namely finding maximum clique, will be given using cellular neural networks. Eventhough the problem is defined by discrete variables,continuous cellular network will be used. The maximal cliques will be the stable states of the cellular neural networks. To illustrate the performance of the method, the results will be compared with some existing models as saturated linear dynamical network, continuous Hopfield dynamics.