Solving TSP via fuzzy dynamic PSO and HNN algorithm

Since the Hopfield network often suffers from slow rate of convergence and low accuracy and being trapped in local extremes when used to solve the traveling salesman problem, this paper combines the fuzzy dynamic particle swarm optimization (PSO) and Hopfield neural networks (HNN) to form a novel algorithm, FDPSO-HNN. Experiments show that the proposed methods outperform the algorithm of EPSO and N-EPSO in terms of both global convergence rate and computation time.