Neural network for solving linear programming problems with bounded variables

A new neural network for solving linear programming problems with bounded variables is presented. The network is shown to be completely stable and globally convergent to the solutions to the linear programming problems. The proposed new network is capable of achieving the exact solutions, in contrast to existing optimization neural networks which need a suitable choice of the network parameters and thus can obtain only approximate solutions. Furthermore, both the primal problems and their dual problems are solved simultaneously by the new network.<
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