Compositional Optimum Design of the Ceramic Composite with Immune Genetic Algorithm
In this paper, the immune genetic algorithm (IGA) is used to optimize the compositions of the Al2O3/SiC/Ti(C,N) ceramic composite material. Corresponding to the optimal mechanical properties such as fracture toughness, hardness and flexural strength, the optimum material compositions have been achieved. The convergent speed of IGA is faster than that of the single immune algorithm, and the number of iteration is also reduced obviously. As a result, the efficiency of optimization is increased.
H. F. Zhang et al., "Compositional Optimum Design of the Ceramic Composite with Immune Genetic Algorithm", Applied Mechanics and Materials, Vols. 66-68, pp. 1562-1567, 2011