Neural networks have proven to be efficient at solving some optimization problems. Optimization troubles are about obtaining a minimum of a goal function. A neural network, as an illustration, the Hopfield network, may be represented by an energy function which has a tendency to its minimum during convergence. Now, the difficulty of using a neural network for dealing with an optimization activity is how to represent the optimization target function as an energy function of a network.