Thinned arrays using genetic algorithms

It is shown how to apply genetic algorithms (GAs) to arrive at an optimally thinned array. Consistent GA results from five array thinning optimizations for a 50-element linear array of isotropic point sources are shown. All of the runs are within 0.8dB of one another. A sample far-field pattern for the 50-element array resulting from the GA optimization is shown. The array patterns are optimized for the lowest maximum sidelobe level. It is concluded that a GA is ideal for optimizing the thinning of an array. The bits in a gene correspond to turning the element on or off. Although a GA is slow, it can handle very large problems involving many antenna elements.<
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