The purpose of this paper is to develop methodological tools for building the innovative environment of enterprises using the genetic algorithm and neural networks. The paper analyzes and highlights the advantages of genetic algorithms in the search for optimal solutions compared to classical methods. The scheme of construction of each step of the genetic algorithm is described in detail; the scheme of the presentation of artificial neural network data in key factors of innovative development of enterprises is given. The aspects of using neural networks of attractors and a genetic algorithm for modeling the processes of the innovative environment of enterprises are considered. The key problem of introducing effective industrial innovations is the lack of a favorable climatic environment that stimulates the creation of innovations that ensure the growth of global competitiveness, labor productivity and the quality of life of the population. The result of the study is the formation of a model of the innovative environment of enterprises based on the use of neural networks and a genetic algorithm.

One of key factors of innovative development is the availability of favorable innovative environment, ensuring the transformation of ideas and developments into market products, introduction of these products into most important branches of economics and social sphere, as well as allowing saving the unique set of scientific and engineering schools. But the key problem for implementation of effective innovations is the absence of favorable environment and innovative climate, promoting creation of innovations, ensuring the growth of global competitive ability, labor productivity and life quality of population. Thus the formation and development of innovative environment as the most important condition for implementation of effective innovations represents by itself the actual scientific task, having significant national economic meaning. There are considered the aspects of use of neural networks of attractors and genetic algorithm for the processes of industrial complexes innovative environment modelling. Key problem of implementation of effective industrial innovations is the absence of the favorable development and climate environment, stimulating the creation of innovations ensuring the growth of global competitive ability, labor efficiency and life quality of population. Thus, the managing of development environment of industrial complexes represents by itself an actual task.