Research on Optimization of Exponential Distribution Timing Truncation Scheme for Joint Inspection of Equipment System ofSystems

doi:10.12382/bgxb.2022.A028

Abstract

Abstract: In order to solve the problem that there is no universal model to choose a sampling inspection scheme when determining a sampling inspection scheme under the exponential distribution case，an optimization model with the minimum risk distance as the objective is established，and the objective function and constraint conditions are given. When the optimal solution is difficult to be solved by the analytic method，the particle swarm optimization algorithm is used to decrease the difficulty of the problem solving. The basic principle and solving process of the particle swarm optimization algorithm are introduced. Finally，the feasibility and effectiveness of the model and algorithm are verified by specificexamples.

Key words: samplinginspectionsheme, exponentialdistribution, timetruncatedsampling, particleswarmoptimizationalgorithm

CLC Number:

TB114.37

GUO Zhiming， WANG Di， PANG Ting， LI Juan， ZHAO Dan， YANG Jianxin. Research on Optimization of Exponential Distribution Timing Truncation Scheme for Joint Inspection of Equipment System ofSystems[J]. Acta Armamentarii, 2022, 43(S1): 203-207.

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第43卷增刊12022 年6月
兵工学报ACTA ARMAMENTARII
Vol.43Suppl.1Jun. 2022

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[2]	GUAN Jun， ZHOU Jia-shen, YI Wen-jun， LIU Shi-ping， CHANG Si-jiang， SHI Ji-gang. Identification of Spinning Projectile Aerodynamic Parameters Using Adaptive Chaotic Mutation Particle Swarm Optimization [J]. Acta Armamentarii, 2017, 38(1): 73-80.