89 search results - page 11 / 18 » Evolving programs with parameters and loops |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
ESANN
2006
13 years 8 months ago
2006
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
CODES
2007
IEEE
13 years 11 months ago
2007
IEEE
For the worst-case execution time (WCET) analysis, especially loops are an inherent source of unpredictability and loss of precision. This is caused by the difficulty to obtain sa...
AIR
2005
13 years 7 months ago
2005
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...