9 search results - page 2 / 2 » Exploiting gradient information in numerical multi--objectiv... |
NECO
2007
13 years 7 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
ITIIS
2010
13 years 2 months ago
2010
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
TIT
2010
13 years 2 months ago
2010
We consider the problem of rate and power allocation in a multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a general concave ut...