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GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
16 years 1 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
16 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 1 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
GREC
2007
Springer
16 years 1 months ago
A Fast CBIR System of Old Ornamental Letter
This paper deals with the CBIR of old printed graphics (of XVI◦ and XVII◦ centuries) like the headpieces, the pictures and the ornamental letters. These graphical parts are pre...
Mathieu Delalandre, Jean-Marc Ogier, Josep Llad&oa...
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