Improved Cuckoo Search Algorithm for Reliability Sampling Inspection Program in Binomial Case

被引：0
|
作者：
Guo Z.-M. [1 ]
Li C.-F. [1 ]
Ji G.-Z. [1 ]
Liu Q. [1 ]
Qian Y.-P. [1 ]
Hu B.-S. [1 ]
机构：
[1] Ordnance Science and Research Academy of China, Beijing
来源：
| 1600年 / China Ordnance Industry Corporation卷 / 38期
关键词：
Distance of risk; Improved cuckoo search algorithm; Integer optimization; Ordnance science and technology; Reliability sampling inspection program; Success or failure product;
D O I：
10.3969/j.issn.1000-1093.2017.04.018
中图分类号：
学科分类号：
摘要：
The design of reliability sampling inspection program for the success or failure products is an issue to be solved in reliability test. Meta-heuristic algorithm provides a new idea to solve the problem. Cuckoo search algorithm is a new meta-heuristic algorithm, and has been widely used in many fields because of its simplicity but efficiency. A model for reliability sampling inspection program is developed to minimize the risk. The mechanism of the cuckoo search algorithm is expounded. For the local search efficiency of the algorithm, an adaptive detection probability is proposed to balance the global search and local search efficiencies. The result of a case study reveals that the proposed method is feasible and effective. © 2017, Editorial Board of Acta Armamentarii. All right reserved.
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页码：758 / 765
页数：7
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