Objectives. The authors conduct an analytical review of available optimization methods and simulation tools to identify their key features, effectiveness, and possible applications. The aim was to form an integrated picture of modern approaches, which may facilitate decision making when selecting the most appropriate method for a particular task. The key objective was to review and classify various optimization tools, which of theoretical and practical value for developers of new models.Methods. Scientific publications and analytical materials were retrieved from specialized databases and technical documentation libraries.Results. The analysis and classification of existing optimization methods allowed the authors to identify their advantages, disadvantages, and application features, as well as to determine the relationship between theoretical concepts and their practical implementation. During the analysis, various optimization approaches were considered, covering both classical and modern simulation methods.Conclusions. The importance of informed selection of optimization methods, which raise the efficiency and accuracy of simulation procedures, is highlighted. The results obtained indicate the need for further study and comparative analysis of the methods used in practice in order to establish their efficiency and applicability in various scenarios. Future research directions include experimental testing of the effectiveness of various approaches based on several models in order to determine their advantages and disadvantages for a more informed selection of the method suitable for a particular task.

The main aspects of three concepts––human capital, innovation projects, and simulation modeling––are considered, and a simulation model is proposed to describe the role of human capital in innovation projects. This high-level abstraction model is intended to study the role of the social component in the organizational structure of an innovation project in a general context (at the level of an economic sector, an enterprise, or part of an enterprise). It is treated primarily as a tool for tracking the dynamics of projects considering the state of human capital of the system. The model consists of two main components, namely, a basic simulation model in system dynamics terms and an agent-based component of the model describing human capital dynamics. The model is a conceptual tool that requires calibration and refinement when being implemented in a particular organization.

Рассмотрены основные аспекты концепций человеческого капитала, инновационных проектов и имитационного моделирования, на основе чего предложена имитационная модель, описывающая роль человеческого капитала в инновационных проектах. Разработанная модель высокого уровня абстракции создана для исследования роли социального компонента в организационной структуре инновационного проекта в общем контексте (на уровне отрасли, предприятия, части предприятия) и рассматривается прежде всего как инструмент для отслеживания динамики проектов с учетом состояния человеческого капитала системы. Модель состоит из двух основных частей: базовой имитационной модели, выполненной на языке системной динамики, и агентного компонента модели, описывающего динамику человеческого капитала. Модель представляет собой концептуальный инструмент, требующий калибровки и доработки для применения к конкретной организации. The main aspects of three concepts––human capital, innovation projects, and simulation modeling––are considered, and a simulation model is proposed to describe the role of human capital in innovation projects. This high-level abstraction model is intended to study the role of the social component in the organizational structure of an innovation project in a general context (at the level of an economic sector, an enterprise, or part of an enterprise). It is treated primarily as a tool for tracking the dynamics of projects considering the state of human capital of the system. The model consists of two main components, namely, a basic simulation model in system dynamics terms and an agent-based component of the model describing human capital dynamics. The model is a conceptual tool that requires calibration and refinement when being implemented in a particular organization.