基于遗传算法的圆度误差评估

摘要

将遗传算法应用于圆度误差的评定.首先简介了误差评定背景和遗传算法及其特点.然后根据尺寸和公差的数学定义[1]给出满足最小区域条件的圆度公差评定的数学模型和适应度函数.接着,以最小二乘解作为初始值,对圆度误差的遗传优化过程进行了详细的论述.最后用实例对算法进行验证.优化过程和实验结果显示了遗传算法在解决形状公差的评定这类非线性问题的优越性,通过并行搜索能最大限度地保证解的全局最优,计算精度高、效率高,且易于理解和实现.%Along with the development and applications of nanomaterials, microdevices, microstructures and microsystems, the theoretical and technological study of microscale effects has formed a hot point of current scientific research and a drive-force of the microscale theory progress. The paper, based on the microscale dimension and the microscale regimes, gives a brief introduction to the microscale theory.