New multi-objective optimisation algorithm for uniformly excited aperiodic array synthesis

A new multi-objective optimisation algorithm called non-dominated sorting and local search (NSLS) algorithm is proposed for uniformly excited aperiodic array synthesis here. Two design cases of uniformly excited linear and planar array synthesis are conducted to verify the outperformance of NSLS. Synthesis results indicate that NSLS is able to obtain the lowest maximum sidelobe level (MSLL) and the deepest null depth level in linear array design case, along with the lowest MSLLs in two planes of radiation pattern in planar array design case compared with the other latest algorithms. In addition, the convergence performance and computational costs of NSLS in the design cases are investigated. The synthesis results combined with excellent convergence performance and low computational costs of NSLS make it a reliable and promising optimisation algorithm for uniformly excited aperiodic array synthesis.