399 search results - page 13 / 80 » Parallel evolutionary algorithms can achieve super-linear pe... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
ICES
2005
Springer
14 years 1 months ago
2005
Springer
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
PDPTA
2007
13 years 9 months ago
2007
- Serial algorithms to evaluate the Gabor transform of a discrete signal are bound by the length of signal for which the transform can be evaluated. The time taken, if machine memo...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...