Application of combinatorial-coded artificial immune system(AIS) to ship cargo weighing
混合编码免疫算法在船舶载重计量的应用

A combinatorial-coded artificial immune system(AIS) is presented and applied to the modeling of ship cargo weighing. This algorithm possesses the advantage of immune algorithm in global searching and the conciseness of genetic program(GP) in structure-tree. It codes the antibodies in a combination of structure-tree-coding model and parametercoding model. By applying immune operations to both structures and parameters of antibodies, the global optimization and the identification of both structures and parameters of the nonlinear system are thus realized. The algorithm is independenct of prior knowledge; and the identified model is of simple structure to be understood. Simulations and applications of the identification to the ship cargo weighing model demonstrate the efficacy and efficiency of the proposed algorithm.