Multi-Parameter Placement Optimization of Shipboard Antennas Based on SAGA

Abstract

Along with the development of the computer technology and the optimization Algorithm, the study of shipboard antennas placement has come into optimization era. To the author’s knowledge nobody has used SAGA (Simulated Annealing Genetic Algorithm) to optimize the placement of shipboard antennas. This thesis configures the parameters of SAGA. Utilizing the antenna performance parameters calculated by MLFMA (Multilevel fast multiple algorithm) in ANSYS to SAGA, achieved the placement optimization of shipboard antennas.