Optimization modeling of the investment process for the development of the civil aviation sectoral organizational system

The article discusses about formalized approach to investment processes managing for development of sectoral organizational system using modeling and optimization methods. The problem orientation of these methods is determined by the process peculiarities under research in the civil aviation sectoral organizational system. An agent-game model is proposed as a basic model of interaction between the control center and the objects of the organizational system in the investing process spheres of the industry development program. We discussed about the sequential solution necessity of two optimization problems with the investment process centralized management. It's formalized an optimization model of Boolean programming for the game problem associated with the set formation of objects included in the resource support for certain development program areas. Then it was shown second task namely interests agent-game coordination between control center and the objects of organizational system in investment resource implementation in order to optimally search for control center strategies set with a set of industry development basic indicators. Algorithmizing of making management decisions based on the listed optimization problems such as the integration of randomized search algorithms, a genetic algorithm with adaptive mutation, and a population particle swarm algorithm.

1. T.K. Rutkauskas. Investments and investment activities of the organization. Yekaterinburg: Ural Publishing House. un-that. 2019. (In Russ)

2. Birman G., Schmidt S. Economic analysis of investment (translated from English under the editorship of LP Belykh). - M .: Banks and stock exchanges, UNITI. 2017. (In Russ)

3. Ivanov D.V. A multi-alternative decision-making system for socio-technical objects based on game-theoretic methods and multi-agent technologies in conditions of risk. Voronezh State Technical University Bulletin. 2016;12(1):8-14. (In Russ)

4. Ivanov D.V. Algorithmization of decision-making procedures for socio-technical objects based on game-theoretic methods and multi-agent technologies in conditions of risk. Bulletin of the Southwest State University. Series: Management, computer technology, informatics. Medical instrumentation. 2016;4(21):11-18. (In Russ)

5. Borzova A.S., Zheleznaya I.P. Key performance indicators of airlines. Scientific Bulletin of the Moscow State Technical University of Civil Aviation. 2012;181:35-38. (In Russ)

6. Borzova A.S., Zheleznaya I.P. Analysis of the state of the infrastructure of the airports of the Moscow aviation hub. Scientific Bulletin of the Moscow State Technical University of Civil Aviation. 2013;197:107-110. (In Russ)

7. Borzova A.S., Zheleznaya I.P. On the development of regional airport infrastructure. Scientific Bulletin of the Moscow State Technical University of Civil Aviation. 2015;217(7):23-26. (In Russ)

8. Lvovich I.Ya., Lvovich Ya.E., Frolov V.N. Information technology modeling and optimization: a brief theory and applications. Voronezh: IPC Scientific book. 2016. (In Russ)

9. Chernov V.G. Decision support models in investment activities based on the apparatus of fuzzy sets. M .: Hot Book-Telecom. 2007. (In Russ)

10. Batishchev D.I., Lvovich Ya.E., Frolov V.N. Optimization in CAD. Voronezh: Voronezh State University Publishing House. 1977. (In Russ)

11. Lvovich Ya.E., Lvovich I. Ya. Making decisions in an expert-virtual environment. Voronezh: IPC Scientific book. 2010. (In Russ)

12. Volkova S.S., Semenkin E.S. Investigation of effective adaptive mutation in genetic algorithms. Actual problems of aviation and astronautics. 2012;1.8:291-293. (In Russ)

13. Trakhtengerts E.A. Computer support for making coordinated group decisions. Information technology: applications. 2002;7:42. (In Russ)

14. Kashirina I.L., Lvovich Ya.E., Sorokin S.O. Integral evaluation of the efficiency of network systems with a cluster structure. Economics and management of control systems. 2015;1.3(15):330-337. (In Russ)

15. Karpenko A.P. Population algorithms for global search engine optimization. Review of new and little-known algorithms. Information Technology. Applications. 2012;7:32. (In Russ)