A method of testability optimization based on improved particle swarm optimization

A method of testability optimization based on improved particle swarm optimization

This paper proposed an optimization algorithm based on information flow testability modeling to optimize the selection of TPs. This method is an improved particle swarm intelligence algorithm based on the traditional fuzzy particle swarm algorithm. And improvements were made according to the feature...

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Bibliographic Details
Published in:2014 Prognostics and System Health Management Conference (PHM-2014 Hunan) pp. 451 - 455
Main Authors: Wenkui Hou, Guoping Yao, Junfeng Yan
Format: Conference Proceeding
Language:English
Published: IEEE 01-08-2014
Subjects:
Algorithm design and analysis
Analytical models
D-matrix
Educational institutions
Optimization
optimization problem
Particle swarm optimization
Software
Software algorithms
testability dsign
Online Access:Get full text
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Summary:This paper proposed an optimization algorithm based on information flow testability modeling to optimize the selection of TPs. This method is an improved particle swarm intelligence algorithm based on the traditional fuzzy particle swarm algorithm. And improvements were made according to the features of dependence matrix. Software simulation was made to proof this methods.
ISSN:2166-563X
2166-5656
DOI:10.1109/PHM.2014.6988213