Decision two criterial optimization transport problem on the basis of dynamic Hopfield neural network

The new approach in the decision multicriterial optimization a transport problem by two coordinated criteria on the basis of use of dynamic neural network Hopfild is considered. Search of the decision is made due to convolution of private criteria and uses of properties of a dynamic neural network to minimize the energy at a relaxation to the steady condition. The offered algorithm has shown the efficiency. The program of the further researches will include expansion of a range of criteria and use of not coordinated criteria.