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作 者:王伯平[1] 王薇 孙大刚[1] 阎献国[1] 都丽娜[1] Bo-ping Da-gang Xian-guo Li-na
机构地区:[1]太原科技大学,山西,太原,030024 [2]太原高新技术开发区,山西,太原,030006
出 处:《计量学报》2009年第6期-,共3页Acta Metrologica Sinica
摘 要:提出了一种基于混沌遗传算法的计算圆度误差的新方法.它利用混沌优化方法的遍历性和随机性,通过混沌扰动操作可克服传统遗传算法中的早熟问题,确保算法的全局收敛性.该方法满足最小条件原理,其计算结果的精确度非常高,理论上可以获得全局最优解.实例计算表明,这种算法简单明确,具有精度高、收敛速度快、易于计算机程序实现和推广应用等特点. Abstract: A new method for calculating the roundness error based on chaos genetic algorithms is proposed. The system utilizes the ergodicity and randomness of chaos optimal method and by means of chaos stir operation, which can overcame the problem of premature convergence in traditional genetic algorithms and ensured an convergence of the algorithms. The method satisfies the principle of the least condition, the precision of calculating result is very high and can find .the global optimal solution. An actual calculated example showed that this method is simple and clear and it has features of high precision and fast convergent speed as well as using computer easily and popularizing application easily.
关 键 词:混沌遗传算法 圆度误差测量 GENETIC ALGORITHMS Based ROUNDNESS ERROR GENETIC ALGORITHMS premature convergence 计算结果 ROUNDNESS ERROR high precision 混沌优化方法 传统遗传算法 traditional application 全局最优解 全局收敛性 new method operation 最小条件 推广应用
分 类 号:TB9-55[一般工业技术—计量学]
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