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and firefly algorithm. For all algorithms brief description and main steps of receiving solution are given

The article is devoted to the study of metaheuristic method for scheduling problems solution

to the planning, based on the use of algorithms to find solutions in a large space. In such cases, the use

system evolution providing the necessity of combining solution search optimization algorithms and methods

and propose extensions of Jacobi algorithms to find its solution. A modified double iteration process yields

one. An extension is proposed for the Jacobi algorithm, which constructs a sequence converging to a

The universal method for the solution of problems of non-numerical optimization is considered

problems are described. These algorithms provide the procedure of solution extension with respect to a

We describe algorithms for the solution of inversion problems in atomic absorption and resonance

and rational in the other derivatives and in the independent variable, we devise two algorithms to check

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