A NEW MULTI-FREQUENCY VIBRATIONAL GENETIC ALGORITHM IN RADAR CROSS SECTION MINIMIZATION PROBLEMS
Within this study, it is aimed to provide an efficient stochastic algorithm for different optimization problems. For
this purpose, as a search method, multi frequency vibrational genetic algorithm [m-VGA] is improved and used
to accelerate the genetic algorithm for radar cross section minimization problem. From the results obtained, it
is concluded that m-VGA decreased the required time for the minimized radar cross section solution beside its
simplicity. Low population rate and short generation cycle are the main benefits of the new genetic algorithm.
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