UDC 004.942
SCHEDULING OF SHOOTING SYSTEM APPLYING HYBRID EVOLUTIONARY ALGORITHM
L. A. Demidova, Dr. Sc. (Tech.), full professor, RSREU, Ryazan, Russia; This email address is being protected from spambots. You need JavaScript enabled to view it.
N. A. Petrova, Branch of JSC «SRC «Progress» – Special Design Bureau «Spectr», Ryazan, Russia; This email address is being protected from spambots. You need JavaScript enabled to view it.
The problem of shooting parameter value optimization when scheduling a system of shooting is considered and the possibility to use a hybrid evolutionary algorithm for its decision is investigated. The aim of work is application of the evolutionary approach to the problem of shooting parameters optimization assuming development of program system integrating mathematical models and evolutionary algorithms of optimization and implementing the search of optimization problem parameter values to meet a set of requirements and restrictions at acceptable time expenditure. To solve a practical problem to optimize the coverage of observation subject by the system of shooting the idea of genetic algorithm and differential evolution algorithm hybridization was offered and implemented. The results solving a practical problem of shooting parameter optimization confirming expediency of the offered hybrid evolutionary algorithm application providing
minimization of time expenditure for the solution of optimization task are given.
Key words: optimization, parameter, genetic algorithm, algorithm of differential evolution, hybrid, system of shooting, subject to observation.