Applying Particle Swarm Optimization to The Quantitative Texture Analysis based on Maximum Entropy Method
粒子群优化在最大熵法定量织构分析中的应用

In this article presented, the Particle Swarm Optimization (PSO) with inertia weight factor was applied for the quantitative texture analysis based on Maximum Entropy Method (MEM). Following this method, one has obtained fairly satisfying calculation results of complete orientation distribution for many samples of Deep-drawing Steel sheets and purity copper with macro orthogonal symmetry. In the processing data, there is not any assumption except the entropy is maximum. The samples compositions, texture components as well as their orientation distributions have no effect on the calculating results.