水下无人系统学报2018，Vol.26Issue(1)：53-56,88,5.DOI:10.11993/j.issn.2096-3920.2018.01.009
基于搜寻者算法的测试性优化分配方法
Optimal Allocation Method of Testability Based on Seeker Optimization Algorithm
张钊旭 1王志杰 2李建辰 1王贵奇 1许军 2杨进候1
作者信息
- 1. 中国船舶重工集团公司第705研究所,陕西西安,710077
- 2. 水下信息与控制国家重点实验室,陕西西安,710077
- 折叠
摘要
Abstract
Testability allocation is an essential part in the design of testability.The existing testability allocation methods have such disadvantages as complicated weight calculation,subjective determination of weight,and allocation results needing adjustment according to experience,which cannot reflect actual status of product accurately.In this paper,the seeker optimization algorithm(SOA),which has the advantages of good global searching capability,fast convergence and strong robustness,is employed to propose an SOA-based optimal allocation method of testability by taking the life cycle cost as an objective function and weighing the related influencing factors.The effectiveness and feasibility of the proposed method is verified by allocating the fault detection rate(FDR) among forty-one components in a torpedo control system.This research may provide a reference for optimization design of testability.关键词
鱼雷/测试性优化分配/全寿命周期费用/搜寻者优化算法(SOA)Key words
torpedo/optimal allocation of testability/life cycle cost/seeker optimization algorithm(SOA)分类
军事科技引用本文复制引用
张钊旭,王志杰,李建辰,王贵奇,许军,杨进候..基于搜寻者算法的测试性优化分配方法[J].水下无人系统学报,2018,26(1):53-56,88,5.
