IMPROVED BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHM BASED ON HYBRID HIGH-ORDER MOBILITY MODEL

Biogeography-based optimization algorithm (BBO) realizes the information circulation and sharing by using the species migration among habitats and achieves the global optimization by improving habitat adaptability. Based on the information sharing strategy and the population adaptive migration mechanism of BBO algorithm, six new high-order nonlinear hybrid mobility models are proposed based on the cosine-four order mobility model and cosine-sixteen order mobility model. Simulation experiments are carried out to compare the optimization performances of the proposed hybrid high-order mobility models on the typical function optimization problems. The simulation results and analysis show that the proposed improved BBO algorithm has good optimization performance.