Neural network approach to zero-one optimal covering problem

Abstract

This paper reports the investigation of the neural network solution to the zero-one optimal covering problem via computer simulation. The key idea used in this exploration is that for every covering problem there exists an equivalent integer linear programming problem which can be solved by modifying the linear programming neural net circuit proposed by Tank and Hopfield. Simulation results indicate that this method works very well.<>