Research of antenna selection based on binary cat swarm optimization

Cat swarm optimization (CSO) is a kind of intelligent algorithm to mimic the behavior of cat, the binary CSO (BCSO) is a binary version. Based on the characteristic of BCSO's tracking mode and search mode to the global optimal solution, this paper proposes a new antenna selection algorithm applying BCSO. By the application of the arithmetic model of BCSO and the two kinds of patterns of behavior, this algorithm fused BCSO to the process antenna selection, and focused on transforming the selective sequence of antennas to the process of cat swarm optimization. At the same time, this paper offers the velocity and position updating formula of the cats under different modes, and designed the step of iteration to solve the problem. The simulation results show that the algorithm is highly effective and accurate in antenna selection.