An Ant Colony Optimization approach for test pattern generation
Test pattern generation is a challenging problem that has an exponential complexity that is aggravated with the continuos increase in circuits size. This paper deals with automatic test pattern generation (ATPG) for combinational circuits, and proposes a new approach based on Ant Colony Optimization...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | conferenceObject |
| منشور في: |
2017
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5455 http://dx.doi.org/10.1109/CCECE.2008.4564771 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/4564771/ |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | Test pattern generation is a challenging problem that has an exponential complexity that is aggravated with the continuos increase in circuits size. This paper deals with automatic test pattern generation (ATPG) for combinational circuits, and proposes a new approach based on Ant Colony Optimization (ACO). The paper studies the opportunities offered by ACO in comparison with other simulated-based ATPGs. The method is implemented and is shown to efficiently generate a set of test vectors that achieve a high fault coverage in a short time. Several benchmark circuits are attempted, and favorable results comparisons are reported |
|---|