The genetic algorithm with greedy heuristic, initially developed for solving location problems on networks, can be adapted for solving continuous problems such as kmeans. However, the efficiency of such algorithm in case of continuous problems does not allow to use it for solving the large-scale problems. In this paper, authors propose a modification to this algorithm which allows such algorithm to work faster.
The article is devoted to the modification of the Data Envelopment Analysis (DEA) method to conduct a comparative assessment of the innovative sustainability of resource-type regions. The theoretical basis for the study was the results of the analysis of accumulated foreign experience and current Russian practice on the assessment of sustainable innovative development at the federal and regional levels. Based on the approaches studied, taking into account the identified advantages and disadvantages, the authors proposed a modification of the DEA method, which allows to evaluate the effectiveness of innovative development of regions from a position of sustainability, with subsequent interpretation of the assessment results and identification of factors that have a negative impact. The results of the study can be used by regional and federal government bodies to monitor risks and threats in the innovation sphere of the regions of the Russian Federation, as well as to adjust existing regulatory, strategic documents and improve mechanisms to stimulate innovation in resource-type regions.
Currently, digitalization is the most urgent problem faced by many agricultural producers, so the main trend in the development strategy of the Russian Federation is digitalization. The goal of this direction is to introduce and improve the use of new technologies in all spheres of national life. Agriculture in the Russian Federation has always been one of the most important areas of the economy, so technological development is very important. “Digital agriculture” will help find and make the best decisions not only for the growth of the company, but also to prevent various inefficient decisions that lead to future bankruptcies. The emphasis on the development of agro-industrial and industrial complexes has once again proved the importance of this sector of the economy for the state. In this article, the authors try to understand the current strategy for the development of agriculture until 2025 and what role digitalization plays in it. According to the authors, the implementation of such solutions and their adoption by companies not only control the development, but also provide a good tool for improving the efficiency of the agricultural sector.
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