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- W3125055092 abstract "Over the past decade, innovation has become an important part of the development for large business companies. The search for promising topics, as well as the recruitment of potential applicants teams who can implement an innovative project with the maximum benefit for business at the lowest cost, led to the search for approaches to solving these problems using IT. Since the problems of such research are covered separately in different industry areas, we implemented an approach to completing project teams based on genetic algorithms. A wide review of the literature allowed us to identify some important characteristics of innovative projects, as well as to summarize the portfolio of competencies required for potential designers. These attributive characteristics of the project and the applicants' competence should be taken into account. The developed genetic algorithm allows searching for multiple parameters simultaneously and generating new solutions through the use of different operators. The results open up a new range of opportunities for business companies and government organizations interested in successful implementation of innovations." @default.
- W3125055092 created "2021-02-01" @default.
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- W3125055092 date "2021-01-12" @default.
- W3125055092 modified "2023-09-27" @default.
- W3125055092 title "Digital recruitment of innovative project teams’ leaders based on genetic algorithms" @default.
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- W3125055092 doi "https://doi.org/10.1088/1757-899x/1027/1/012013" @default.
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