Antenna benchmark performance and array synthesis using central force optimisation

作者：Qubati G M^*; Formato R A; Dib N I

来源：IET Microwaves Antennas & Propagation, 2010, 4(5): 583-592.

DOI：10.1049/iet-map.2009.0147

Central force optimisation (CFO) is a new deterministic multi-dimensional search evolutionary algorithm (EA) inspired by gravitational kinematics. CFO is a simple technique that is still in its infancy. This study evaluates CFO's performance and provides further examples of its effectiveness by applying it to a set of 'real-world' antenna benchmarks and to pattern synthesis for linear and circular array antennas. A new selection scheme is introduced that enhances CFO's global search ability while maintaining its simplicity. The improved CFO algorithm is applied to the design of a circular array with very good results. CFO's performance on the antenna benchmarks and the synthesis problems is compared to that of other EAs.

• 出版日期2010-5