IMPROVEMENT ON THE MODIFIED MAXIMUM ENTROPY METHOD FOR TEXTURE ANALYSIS BY PARTICLE SWARM OPTIMIZATION
粒子群算法对织构分析改进最大熵法的改进

The particle swarm optimization (PSO) was successfully applied for the modified maximum entropy method (MMEM) of the quantitative texture analysis. Using two incomplete pole figures or only one incomplete pole figure, the complete orientation distributions of pure copper samples can been obtained. Such an improvement has been verified to keep the merits of primary MMEM, i.e., the complete orientation distribution function (ODF) of samples can be calculated using lesser experimental data, furthermore, the difficulty to choose a set of purposely initial solutions has also been overcome when solving the nonlinear equation, which makes the MMEM more versatile and practicable.