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In this paper, a new evolutionary optimization algorithm named gravitational search algorithm with wavelet mutation (GSAWM) is adopted for optimal design of hyper beam pattern of linear antenna arrays. Hyper beam is derived from sum and difference beam patterns associated with hyper beam exponent parameter for the array. In GSAWM, particles are considered as objects and their performances are measured...
This paper presents Seeker Optimization Algorithm (SOA) to the optimization of current excitation weights and uniform inter-element spacing for the optimal design of hyper beam forming of linear antenna arrays. Hyper beam forming is based on sum and difference beam patterns, each raised to the power of hyper beam exponent parameter for linear antenna arrays. In the SOA, the act of human searching...
In this paper, various swarm based algorithms like real coded genetic algorithm (RGA), conventional particle swarm optimization (PSO), a proposed novel particle swarm optimization (NPSO) have been applied for the optimal design of hyper beamforming of linear antenna array. Hyper beam is derived from sum and difference beam patterns each raised to the power of the hyper beam exponent parameter for...
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