The paper contains description of a unified library of artificial intelligence intended for optimization the combinatorial problems via metaheuristic algorithms. This library can be useful for practical applications in various sectors of industry and economy. The structure of the library allows to create a large number of optimization population algorithms including the genetic algorithms, the ant colony algorithms, the bees algorithms and many other algorithms based on bionic optimization models. All necessary requirements for realization such algorithms are described in details. In the paper Is given the architecture of designed unified library of artificial intelligence algorithms, providing the ability of modeling a variety of intelligent algorithms and creating on its basis the combined and hybrid optimization algorithms for control problems and decision-making in organizational systems.