Comparison between Binary Particles Swarm Optimization (BPSO) and Binary Artificial Bee Colony (BABC) for nonlinear autoregressive model structure selection of chaotic data
Azlee Zabidi, Ahmad Ihsan Mohd Yassin, Nooritawati Md Tahir, Zairi Ismael Rizman, Mostafa Karbasi · Journal of Fundamental and Applied Sciences · 2018
This paper presents a comparison between the Binary Artificial Bee Colony (BABC) andBinary Particle Swarm Optimization (BPSO) algorithm for structure selection of a Nonlinear Auto-Regressive Model (NAR) of the chaotic Mackey optimization algorithms are swarm BPSO mimicking the swarming behavior of birds.Recent research has suggested that the ABC algorithm has better solution quality compared to PSO.However, resea this advantage applies to the structure selection case in system identification has not been investigated.We conduct extensive tests to determine the convergence performance of both algorithms.