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» Evolutionary Approach to Test Generation for Functional BIST
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HAIS
2009
Springer
14 years 8 days ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
GLVLSI
2003
IEEE
132views VLSI» more  GLVLSI 2003»
14 years 29 days ago
A highly regular multi-phase reseeding technique for scan-based BIST
In this paper a novel reseeding architecture for scan-based BIST, which uses an LFSR as TPG, is proposed. Multiple cells of the LFSR are utilized as sources for feeding the scan c...
Emmanouil Kalligeros, Xrysovalantis Kavousianos, D...
EOR
2007
77views more  EOR 2007»
13 years 7 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff
TEC
2008
98views more  TEC 2008»
13 years 7 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
EVOW
2001
Springer
14 years 4 days ago
ARPIA: A High-Level Evolutionary Test Signal Generator
The integrated circuits design flow is rapidly moving towards higher description levels. However, test-related activities are lacking behind this trend, mainly since effective faul...
Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda...