GENETIC ALGORITHMS AS A TOOL FOR INTELLIGENT SELECTION OF MANAGEMENT PERSONNEL FOR EDUCATIONAL PROJECTS

Oshkin Andrey V., Pavlov Valery A.

The article is devoted to the use of genetic algorithms to optimize processes in the field of education, in particular, for management and formation of innovative teams in educational projects. The relevance of the study is due to the need to develop effective methods of human resource management in the context of digital transformation of education. It is proposed to use a modified genetic algorithm with an adaptive evaluation function to optimize the process of forming project teams. Particular attention is paid to the issues of algorithm adaptability, which allows taking into account changing project requirements and the dynamics of employee competencies development. An overview of existing studies on the use of genetic algorithms in education is presented, including work on optimizing exam schedules, forming training sequences for neural network technologies for knowledge control and developing inclusive education. The potential of genetic algorithms in solving complex educational problems and improving the efficiency of educational process management at various levels is emphasized.

Keywords:genetic algorithm, synergy, adaptive strategy, innovative leadership, genetic programming