Determination of Optimal Double Sampling Plan using Genetic Algorithm

被引：0

作者：

Sampath, Sundram ^{[1
]}

Deepa, S. P. ^{[2
]}

机构：

[1] Univ Madras, Dept Stat, Chennai, Tamil Nadu, India

[2] SDNB Vaishnav Coll Women, Dept Stat, Chennai, Tamil Nadu, India

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2012年 / 8卷 / 02期

关键词：

Double sampling plan; Average sample number; Average total inspection and genetic algorithm;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Designing double sampling plan requires identification of sample sizes and acceptance numbers. In this paper a genetic algorithm has been designed for the selection of optimal acceptance numbers and sample sizes for the specified producer's risk and consumer's risk. Implementation of the algorithm has been illustrated numerically for different choices of quantities involved in a double sampling plan.

引用

页码：195 / 203

页数：9

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