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PARALLEL IMPLEMENTATION OF HYBRID GSA-NM ALGORITHM FOR ADAPTIVE BEAM-FORMING APPLICATIONS

By K. R. Mahmoud and S. Hamad

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Abstract:
Recently researchers have great interest in using multi-core processors for applications requiring intensive parallel computing. In this paper, an approach for the implementation of hybrid parallel Gravitational Search Algorithm (GSA) and Nelder-Mead (NM) algorithm using open Multi-Processing (OPEN-MP) on multi-core processors is proposed for beam-forming applications. The proposed parallel GSA-NM algorithm is used to optimize the complex excitations, amplitudes and phases, of the adaptive array elements to synthesize the array beam-pattern. The array consists of 24-elements uniformly distributed in a circular configuration. To measure the performance of the proposed approach, the results are compared with those obtained using parallel hybrid CFO-NM, and PSO-NM Algorithms.

Citation:
K. R. Mahmoud and S. Hamad, "Parallel Implementation of Hybrid Gsa-Nm Algorithm for Adaptive Beam-Forming Applications," Progress In Electromagnetics Research B, Vol. 58, 47-57, 2014.
doi:10.2528/PIERB13102106

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