The paper is dedicated to the problem of the network planning in the aspect of an optimal time ordering. The traditional Johnson’s algorithm is modified with the individuals’ subjective preferences functions of the available alternatives. It is made an attempt to apply the theory of the subjective entropy conditional optimization to the intelligent development. The simplest case with a two-by-two air transport technologies time resources matrix is considered. In order to evaluate the impact of the subjective preferences upon the optimal time ordering it is proposed to apply a nonlinear model. The time variation occurs depending upon the preference function value belonging to an acceptably wide diapason of the alternatives’ preferences. The conducted computer simulation in the view of the numerical experimentations demonstrates the plausible scenarios of the technological decompositions, rearrangements, and recombination. The necessary diagrams are plotted. The illustrated approach allows choosing the optimal resources recombination (decomposition) for minimal time depending upon the preferences in the explicit view.