Title :
The Application of Ant Colony Algorithm on Automatic Testing Path Optimization in Complex Circuits
Author :
Liu Xinmei ; Liu Peng ; Yin Junling ; Hou Wen
Author_Institution :
Nat. Key Lab. of Electron. Test Technol., North Univ. of China, Taiyuan, China
Abstract :
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.
Keywords :
ant colony optimisation; automatic testing; circuit testing; electronic engineering computing; ant colony optimization algorithm; automatic testing path optimization; bionic optimization algorithm; complex circuits; implementation scheme; moving probe test; real-time testing ability; sequence testing; small circuit; system model; testing speed; Algorithm design and analysis; Ant colony optimization; Automatic testing; Integrated circuit modeling; Optimization; Probes; Ant colony algorithm; Circuit online testing; Path optimization;
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
DOI :
10.1109/GCIS.2012.105