Intelligent system for multicriteria adaptive optimization of the investment projecting process

In conditions of high socio-economic uncertainty and multiple goals of in- vestors, the use of multicriteria optimization in investment projecting allows finding balanced solutions that take into account various factors and preferences, which increases the efficiency and sustainability of investment projects. The article considers the problem of developing an intelligent computer software system for optimizing adaptive control of the investment design process. It is proposed to use network models and methods as a tool for economic and mathematical modeling of the solution to this problem. The paper presents a new optimization network economic and mathematical model that takes into account the presence of several options for acceptable technologies in the investment projecting process, various options for their implementation and using a vector objective function to assess the quality of project implementation. Based on solving a set of network modeling problems of investment projecting processes corresponding to acceptable technologies and various options for their implementation, using the construction of critical paths and the scalarization method of a specific vector objective function, a technique for solving the formed vector optimization problem is proposed. The developed original methodology allows to implement the process of automation and optimization of adaptive control of the investment projecting process based on network modeling, including coding of all operations of investment projecting, determination of interrelations of operations, sequence and terms of their implementation. Based on the proposed methodology, an intelligent computer software system for optimization of adaptive control of the investment prijecting process in the presence of several technologies and a vector target function has been developed and created. The created intelligent computer system OptimumInvest allows to implement automation, optimization and support of management decision-making using feedback in the implementation of complex investment projects.

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