9 search results - page 2 / 2 » Exploiting gradient information in numerical multi--objectiv... |
NECO
2007
13 years 4 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 6 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
12 years 11 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
12 years 11 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...