Optimization Design Algorithm Based on Artificial Immune System for Mechanical Systems

In order to solve the nonlinear constraint problem, a new and feasible optimization algorithm, i.e. the distance concentration artificial immune algorithm (DCAIA), was presented and applied to structural optimization design. The distance concentration and the affinity, between antibody and antigen, and between antibody and antibody, were defined. The proposed algorithm was applied in the optimization design for the mechanical systems. The example shows it is better for an axis design than that of the gene algorithm (GA) and the classical artificial immune algorithm (CAIA).