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» Genetic Algorithms for Dynamic Test Data Generation
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ATS
1997
IEEE
87views Hardware» more  ATS 1997»
13 years 12 months ago
A Genetic Algorithm for the Computation of Initialization Sequences for Synchronous Sequential Circuits
Testing circuits which do not include a global reset signal requires either complex ATPG algorithms based on 9- or even 256-valued algebras, or some suitable method to generate in...
Fulvio Corno, Paolo Prinetto, Maurizio Rebaudengo,...
BMCBI
2006
169views more  BMCBI 2006»
13 years 7 months ago
Comparative analysis of haplotype association mapping algorithms
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 1 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
EURODAC
1994
IEEE
140views VHDL» more  EURODAC 1994»
13 years 11 months ago
GSA: scheduling and allocation using genetic algorithm
This paper describes a unique approach to scheduling and allocation problem in high-level synthesis using genetic algorithm (GA). This approach is dierent from a previous attempt ...
Ali Shahid, Muhammad S. T. Benten, Sadiq M. Sait
ICST
2010
IEEE
13 years 6 months ago
Timed Moore Automata: Test Data Generation and Model Checking
Abstract—In this paper we introduce Timed Moore Automata, a specification formalism which is used in industrial train control applications for specifying the real-time behavior ...
Helge Löding, Jan Peleska