Abstract
The optimization problem of the shooting system parameters values by means of the hybrid evolutionary algorithm has been considered. The idea of hybridization of the genetic algorithm and differential evolution algorithm to solve the problem of optimizing the coverage of the observed object by the shooting system has been proposed and implemented. The results of solving the optimization problem of the shooting system parameters, confirming the feasibility application of the proposed hybrid evolutionary algorithm which provides minimization of time spent on solving the optimization problem has been described.
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