改进布谷鸟算法在成败型产品可靠性抽样检验方案设计中的应用研究

doi:10.3969/j.issn.1000-1093.2017.04.018

摘要/Abstract

摘要： 成败型产品可靠性抽样检验方案设计一直是可靠性试验领域亟待解决的问题之一，使用元启发式算法进行求解是一种新思路。布谷鸟算法是近年来提出的一种新颖的元启发式算法，以其简单高效而获得了广泛应用。提出了以风险距离为目标的成败型产品可靠性抽样检验方案设计模型，之后对标准布谷鸟算法的机理进行了阐述，并针对算法局部寻优能力差的问题，提出了一种两阶段发现概率方法来协调算法的全局搜索能力和局部搜索能力，最后结合具体的算例验证了该方法的可行性和有效性。

关键词: 兵器科学与技术, 改进布谷鸟算法, 可靠性抽样检验方案, 成败型产品, 风险距离, 整数优化

Abstract: 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. Key

Key words: ordnancescienceandtechnology, improvedcuckoosearchalgorithm, reliabilitysamplinginspectionprogram, successorfailureproduct, distanceofrisk, integeroptimization

中图分类号:

TB114.37

郭志明，李长福，姬广振，刘勤，钱云鹏，胡冰甦. 改进布谷鸟算法在成败型产品可靠性抽样检验方案设计中的应用研究[J]. 兵工学报, 2017, 38(4): 758-765.

GUO Zhi-ming, LI Chang-fu, JI Guang-zhen, LIU Qin, QIAN Yun-peng, HU Bing-su. Improved Cuckoo Search Algorithm for Reliability Sampling Inspection Program in Binomial Case[J]. Acta Armamentarii, 2017, 38(4): 758-765.

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