Optimization about the layout of IMUs in large ship based on fruit fly optimization algorithm

Accurate attitude information is needed in the deck of large ship, but it is influenced by the deformation of the deck, the deformation will degrade the performance of the ship-board weapons and equipments. Aim at this problem, IMUs which are contain laser gyros and accelerators, are installed in the key battle point of the deck, applying for the estimation of the deformation, but how many IMUs are needed, and where they should be arranged, is a difficult problem for mankind to solve by hand. In this paper, a new proposed optimization algorithm named fruit fly optimization algorithm (FOA) is utilized to determine the layout of the IMUs, fitness function for the FOA algorithm is organized by the ship's Modal Assurance Criterion (MAC) matrix. Experimental results show that the FOA algorithm can give an optimal layout of the IMUs for detecting the deformation of the deck.