The Application of Ant Colony Algorithm on Automatic Testing Path Optimization in Complex Circuits

With the maturation of a large number of bionic optimization algorithm, based on the analysis of the currently common path optimization algorithm, ant colony optimization algorithm is applied to the problem of path optimization of automatic testing in complex circuit. This paper established the rele...

Full description

Saved in:
Bibliographic Details
Published in:2012 Third Global Congress on Intelligent Systems pp. 84 - 87
Main Authors: Liu Xinmei, Liu Peng, Yin Junling, Hou Wen
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2012
Subjects:
Algorithm design and analysis
Ant colony algorithm
Ant colony optimization
Automatic testing
Circuit online testing
Integrated circuit modeling
Optimization
Path optimization
Probes
ISBN:9781467330725, 1467330728
ISSN:2155-6083
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the maturation of a large number of bionic optimization algorithm, based on the analysis of the currently common path optimization algorithm, ant colony optimization algorithm is applied to the problem of path optimization of automatic testing in complex circuit. This paper established the relevant system models, designed the specific implementation scheme, and conducted the simulation and experiment of path optimization on moving probe tests in small circuits and complex circuits. The results show that the ant colony algorithm applied to path optimization is feasible and it is superior to the results of sequence testing on the testing speed and real-time testing ability.
ISBN:9781467330725
1467330728
ISSN:2155-6083
DOI:10.1109/GCIS.2012.105