Modified Compact Genetic Algorithm for Thinned Array Synthesis


In this letter, a brand new optimization algorithm, the Changed compact Genetic Algorithm (M-cGA) is introduced and applied to the synthesis of thinned arrays. The M-cGA has been derived from the compact Genetic Algorithm (cGA), properly changed and improved by implementing a lot of than one chance vector (PV) and adding suitable learning theme between these PVs. The so-obtained algorithm has been applied to the optimized synthesis of different-size linear and planar thinned arrays: In all the considered cases, it outperforms not solely the cGA, however also the other optimization schemes previously applied to this reasonably problem, each in terms of goodness of the solution (minimization of the peak sidelobe level) and of computational value.

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