Synthesis of aperiodic linear antenna array using multi-objective cat swarm optimization

Pareto optimal synthesis of aperiodic linear antenna array using cat swarm optimization is proposed in this paper. The synthesis of aperiodic antenna array is a highly nonlinear problem and multi-objective in nature, in which the two dissension parameters like peak sidelobe level (PSLL) and first null beam width (FNBW) have to be minimized simultaneously. To solve the aforementioned problem, multi-objective cat swarm optimization (MOCSO) is proposed to determine the compromised solutions of the dissension parameters PSLL and FNBW by optimizing the antenna element positions. Specific solutions may be chosen from the obtained Pareto optimal set to demonstrate the effectiveness of the MOCSO method over other existed multi-objective methods.