4167 search results - page 29 / 834 » Evolutionary functional testing |
EMO
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
GECCO
2008
Springer
13 years 10 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...
EVOW
2010
Springer
14 years 4 months ago
2010
Springer
Computational evolutionary art has been an active practice for at least 20 years. Given the remarkable advances in that time in other realms of computing, including other forms of ...
AAAI
2006
13 years 11 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...