Circular Antenna Array Design Using Novel Perturbation Based Artificial Bee Colony Algorithm

The field of optimization is abundant with algorithms, which are inspired from nature based phenomena. The increasing popularity of such algorithms stems from their applications in real life situations. Here in this article a real life problem in the form of the design of circular antenna array has been discussed. The design of the antenna array is based on the application of a novel variant of Artificial Bee Colony Algorithm using selective neighborhood called sNABC. We use a neighborhood based perturbation on the basis of Euclidean distance and fitness of individuals are used for obtaining minimum side lobe levels, maximum directivity and appropriate null control. To illustrate the effectiveness of our design procedure, the results have been compared with several existing algorithms like DE, ABC and PSO.

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