196 search results - page 25 / 40 » Optimization via Parameter Mapping with Genetic Programming |
IPPS
1998
IEEE
14 years 26 days ago
1998
IEEE
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
INFORMS
2010
13 years 7 months ago
2010
We design and implement an intensity-modulated radiation therapy (IMRT) plan generation technology that effectively and efficiently optimizes beam geometry as well as beam intens...
HIPEAC
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Stream programming is a promising way to expose concurrency to the compiler. A stream program is built from kernels that communicate only via point-to-point streams. The ...
SIAMJO
2008
13 years 8 months ago
2008
We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish clo...