Perspective information technologies based on the methods inspired by natural systems

The new technology of solving the optimization and combinatorial logic problems of an artificial intellect, hybrid and parallel, on graph models based on integrated evolutionary, hive, quantum and genetic algorithms is considered. It allows to receive sets of local and optimum solutions and to build heuristic algorithms with polynomial growth rate of amount of operations, depending on volume of entrance data and, partially, to solve a problem of premature convergence.