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...

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Veröffentlicht in:	2012 Third Global Congress on Intelligent Systems S. 84 - 87
Hauptverfasser:	Liu Xinmei, Liu Peng, Yin Junling, Hou Wen
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2012
Schlagworte:	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-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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