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Information × Registration Number 0220U001270, 0115U000158 , R & D reports Title To develop methods for planning metaheuristic strategies and models for supporting scenarios of optimization-simulation experiments popup.stage_title Head Pepeliaiev V.A., Registration Date 18-02-2020 Organization V.M.Glushkov Institute of Cybernetics, National Academy of Science of Ukraine popup.description2 Developed new methods and tools for creating meta-heuristic strategies of optimization-simulation experiments based on modern evolutionary and multiagent optimization algorithms, as well as developed models of multilayered standardized scenarios to support respective stages of simulation for efficient and accelerated management decisions or design solutions when researching and optimizing complex stochastic systems. The algorithms have been implemented, tested and investigated their performance characteristics for different forms of reaction surfaces of models and under different conditions of influence of random perturbations, including on the domestic supercomputer SKIT-4. By that a modern approach to improving the efficiency of simulation tools for researching complex stochastic systems was implemented based on the Data Farming decision support methodology. The created methods and tools increase the efficiency of use of computer modeling in solving problems of designing, upgrading, prospective planning and forecasting, for which the time of taking a decision is critical. Product Description popup.authors Бігдан В.Б. Кошулько О.А. Чикрій О.А. Чорний Ю.М. popup.nrat_date 2020-04-02 Close