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基于多种群实数编码遗传算法的圆度误差评定

  

  • 出版日期:2010-04-30 发布日期:2015-08-11

Evaluation of Roundness Error Based on RMGA

  • Online:2010-04-30 Published:2015-08-11

摘要: 针对实数编码的遗传算法(RGA)在圆度误差评定中存在的早熟收敛、精度较差及运算速度慢等缺点,分析了多种群遗传算法的模型结构,利用多种群遗传算法的并行性,将其应用于圆度误差评定。实验证明该方法有效地提高了算法的精度和收敛速度,能够快速评定圆度误差。

关键词: :计算机应用, 圆度误差评定, 多种群遗传算法, 圆度

Abstract: In order to improve the problems of real-coding based genetic algorithm (RGA), such as premature convergence, rough result and low speed of calculation, the model structure of multi-population genetic algorithm (RMGA) is analyzed, and the parallel characteristics of this algorithm is applied to the roundness error evaluation. Experiments show that this algorithm can improve the accuracy and convergence in assessment of roundness error effectively.

Key words: computer application, roundness error evaluation, multi-population genetic algorithm, circularity