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» Genetic Algorithms for Dynamic Test Data Generation
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PR
1998
86views more  PR 1998»
13 years 7 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
DATE
1997
IEEE
109views Hardware» more  DATE 1997»
13 years 11 months ago
Sequential circuit test generation using dynamic state traversal
A new method for state justi cation is proposed for sequential circuit test generation. The linear list of states dynamically obtained during the derivation of test vectors is use...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...
IWANN
1995
Springer
13 years 11 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
ISSTA
2004
ACM
14 years 1 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...