Pepelyayev V. Methods and Tools for Computer Simulation of Stohastic Processes and systems.

In this thesis theoretical foundations of computer simulation of stochastic processes and systems are developed. Conducted investigations are devoted to development of new mathematical methods, tools and methodologies in order to increase the efficiency of computer simulation processes. The research covers such "life" cycles of development of simulation applications as the design of the computer model itself and running the experiments focused on searching of optimal decisions for simulation problems solving. The issues of apriori input data validation are also considered. The researches carried out in the scope of this work were dedicated to the development of the complex approach to simulation based on extension of functional capabilities of simulation tools on the basis of integration of modern simulation languages with classical models of system analysis and distributed computation technologies. Such integration provides an opportunity to use the different models (analytical, information, simulation) under formalization of investigated systems and creates preconditions for the development of multipurpose computer environments for the computer modelling. The proposed development system (called NEDISOPT_D) and created on its base methodology of planning and realization of multi-stage simulation optimization experiments provide the guided search of appropriate optimal solutions on uniprocessor or networking options with use of meta-heuristic optimal strategies.