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COR
2008
164views more  COR 2008»
13 years 7 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
GEM
2008
13 years 9 months ago
Better Huffman Coding via Genetic Algorithm
Abstract--We present an approach to compress arbitrary files using a Huffman-like prefix-free code generated through the use of a genetic algorithm, thus requiring no prior knowled...
Cody Boisclair, Markus Wagner
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
14 years 1 months ago
On-Chip Test Generation Using Linear Subspaces
A central problem in built-in self test (BIST) is how to efficiently generate a small set of test vectors that detect all targeted faults. We propose a novel solution that uses l...
Ramashis Das, Igor L. Markov, John P. Hayes
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 1 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
13 years 11 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...