Optimization Strategy of Ship Degaussing Current Based on Improved Differential Evolution Algorithm

The degaussing current adjustment directly affects the control precision of ship degaussing system. In order to effectively compensate the magnetic field in ship surrounding space, a differential evolution algorithm based on dynamic binary population is proposed to optimize the degaussing current. The first subpopulation adopts the central mutation scheme, and the second subpopulation adopts the classical mutation scheme. The algorithm has the advantages of fast convergence and stable optimization results. The results show that the degaussing current optimization strategy based on the differential evolution algorithm of dynamic double subpopulation can obtain the high-precision degaussing winding current configuration, which is convenient to be applied to engineering practice, thus ensuring the magnetic safety of ship.