Genetic algorithms (GAs) are used to minimize antenna coupling by optimally positioning multiple radiators. Initial GA parameters are selected using a simple cylindrical model, and the results are used to optimize antenna placement on a realistic aircraft surface model. A novel aggregate objective function incorporating surface wave coupling, variance of the coupling values, and radiation pattern analysis is used. Multiple computational and experimental data are shown to validate the methodology.

We develop a set of scalar integral equations that govern the electromagnetic scattering from a two-dimensional (2-D) trough in an infinite perfectly conducting ground plane. We obtain accurate and efficient numerical solution to these equations via the method of moments (MoM). Our numerical implementation compares favorably to popular methods such as the finite element/boundary integral (FE/BI) method, generalized network formulation (GNF), and electric field integral equation (EFIE) techniques.

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