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» Genetic Algorithms for Dynamic Test Data Generation
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EC
2007
145views ECommerce» more  EC 2007»
13 years 7 months ago
Covariant Genetic Dynamics
We present a covariant form for the dynamics of a canonical GA of arbitrary cardinality, showing how each genetic operator can be uniquely represented by a mathematical object - a...
Chryssomalis Chryssomalakos, Christopher R. Stephe...
ET
2002
97views more  ET 2002»
13 years 7 months ago
Test Generation for Crosstalk-Induced Faults: Framework and Computational Results
Due to technology scaling and increasing clock frequency, problems due to noise effects lead to an increase in design/debugging efforts and a decrease in circuit performance. This...
Wei-Yu Chen, Sandeep K. Gupta, Melvin A. Breuer
AIR
2004
130views more  AIR 2004»
13 years 7 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...
EMSOFT
2006
Springer
13 years 11 months ago
Software partitioning for effective automated unit testing
A key problem for effective unit testing is the difficulty of partitioning large software systems into appropriate units that can be tested in isolation. We present an approach th...
Arindam Chakrabarti, Patrice Godefroid
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee