Bader O. Evolutionary modeling and IT support of business development

Thesis research is aimed at development of concept-based provisions and relevant information tools of economic and mathematic modeling of dynamics of evolution processes of trophic relations of enterprises' population, which enabled the phase and bifurcation analyses of possible dynamic modes of populations' evolution, determine mechanisms of influence of the environment and inner structure of the system, detect patterns and boundaries of processes stability of M&A. Thesis gives analysis of the main provisions of evolution concept of development of enterprises' population as economic system and methods of evolutionary modeling, which give possibility to analyze functioning of enterprises' population in conditions of individual strategy of every separate enterprise, provides provisions of evolution concept of development of population systems. Main principles of synergy of evolution of life cycle of enterprises' population were defined. The evolution approach to evaluation of synergetic effect of M&A was suggested. Evolutionary modeling of scenarios of development of self-organization of dairy enterprises population by means of combination of statistic and expert data was used. Model population of companies depicting behavioral and technical and resource characteristics of real population of manufacturing enterprises which form incoming flows of substance, energy and information for dairy industry, which allows to unite all possible major options of external conditions of functioning of population and its inner structure was formed.