A near-optimum parallel algorithm for one-dimensional gate assignment problems

A near-optimum parallel algorithm for one-dimensional gate assignment problems is presented in this paper where the problem is NP-hard. The proposed system is composed of an nn two-dimensional maximum neural network for (n+2)-gate assignment problems. Our algorithm has discovered the improved solution in the benchmark problem over the existing algorithms.