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

doi:10.3969/j.issn.1000-1093.2017.04.018

Abstract

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

CLC Number:

TB114.37

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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第38卷
第4期2017 年4月兵工学报ACTA
ARMAMENTARIIVol.38No.4Apr.2017

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