A discrete competitive Hopfield neural network for cellular channel assignment problems

In this paper, we propose a discrete competitive Hopfield neural network (DCHNN) for the cellular channel assignment problem (CAP). The DCHNN can always satisfy the problem constraint and therefore guarantee the feasibility of the solutions for the CAP. Furthermore, the DCHNN permits temporary energy increases to escape from local minima by introducing stochastic dynamics. Simulation results show that the DCHNN has superior ability for the CAP within reasonable number of iterations.