Maximum neural network with nonlinear self-feedback for maximum clique problem
In this paper, by adding a nonlinear self-feedback to the maximum neural network, we propose a parallel algorithm for the maximum clique problem that introduces richer and more flexible dynamics and can prevent the network from getting stuck at local minima. A large number of instances have been simulated to verify the proposed algorithm.
maximum neural network nonlinear self-feedback maximum clique problem