Design of Linear and Elliptical Antenna Arrays Using Biogeography Based Optimization

In this paper, the problem of designing linear and elliptical antenna arrays for specific radiation properties is dealt with. The biogeography-based optimization (BBO) method, which represents a new evolutionary algorithm, is used in the optimization process. BBO is used to minimize the maximum side lobe level (SLL) and null control for isotropic linear antenna arrays by optimizing different array parameters (position, amplitude, and phase). Similarly, for elliptical antenna array, four optimization techniques (BBO, genetic algorithm, self-adaptive differential evolution, and sequential quadratic programming) are used to determine an optimum set of weights that provide a radiation pattern with maximum SLL reduction with the constraint of a fixed major lobe beam width. The obtained results show the effectiveness of BBO compared to other well-known optimization methods.