Formation of the composition of programs for the knowledge–intensive industry development using bacterial optimization algorithms and fuzzy logic methods
https://doi.org/10.24182/2073-6258-2021-20-4-25-30
Abstract
Today the knowledge–intensive industry development is carried out by the programs that combine a set of innovation and investment projects aimed at achieving a single goal and implemented in general constraints. The presence of a larger number of project characteristics (in particular, terms, resources, performers, etc.), which must be taken into account when forming the composition of the program, leads to the formulation of the problem of multicriteria optimization. As its solution, it is proposed to use an algorithm of bacterial optimization, supplemented by a procedure for forming initial positions using fuzzy logic methods.
Supporting agencies: This work was supported by a grant of the President of the Russian Federation for the state support of young Russian scientists — candidates of Sciences (МК–1534.2020.9 «Methods for modelling complex systems using fuzzy network algorithms and swarm intelligence»)
About the Author
О. V. Bulygina
Branch of National Research University «MPEI» in Smolensk
Russian Federation
Russian Federation
Cand. Sci. (Econ.), Assoc. Prof.
Smolensk
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For citations:
Bulygina О.V. Formation of the composition of programs for the knowledge–intensive industry development using bacterial optimization algorithms and fuzzy logic methods. Scientific notes of the Russian academy of entrepreneurship. 2021;20(4):25-30. (In Russ.) https://doi.org/10.24182/2073-6258-2021-20-4-25-30
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