评定圆度误差的模拟退火自适应变异遗传算法

圆度误差是几何精度的重要指标．已有的评定方法存在一定的局限性．为此．提出了一种快速地、准确评定圆度误差的新方法．该方法采用一种新颖的改进遗传算法．通过遗传种群的遗传过程实现对参考圆圆心的快速搜索．为了保证收敛性并加快收敛速度，采用了模拟退火和自适应变异策略．为了提高算法精度和收敛速度．采用了实数染色体基因编码．并采用白适应线性变异和线性交叉．仿真实验和实用证明，该方法算法简单、可快速准确的评定出圆度误差．

Adaptive Mutation Genetic Algorithms Based on Simulated Annealing for Evaluating Roundness Error

Roundness error is an important index of the geometric precision. The method of evaluating the roundness error has some defectiveness. Wherefore, this paper proposes a new method of evaluating roundness error quickly and accurately, which adopts a novel improved genetic algorithm to realize the . quick search of the center of the reference circle by genetic process. In order to ensure convergence and quicken converging speed, a policy of adaptive mutation and simulated annealing is adopted. Meanwhile, not only Real number chromosome gene coding, but adaptive linear mutation and linear crossover are adopted to improve precision of algorithms and converging speed. The results of simulation experiments and applications demonstrate that the roundness error can be quickly evaluated with precision by using the proposed algorithm.