Microstrip-patch array design using a multiobjective GA

A Pareto multiobjective genetic algorithm (MOGA) has been applied to optimize the radiation characteristics of a 4/spl times/4 array of parasitically loaded microstrip-patch antennas in terms of sidelobe level (SLL), main-lobe half-power beamwidth, and dynamic range (DR). The geometry of the array configuration is fixed and the genetic algorithm (GA) finds the complex feeding coefficients of each element in the array.