1210 search results - page 54 / 242 » Newton's method and its use in optimization |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
ACG
2006
Springer
14 years 1 months ago
2006
Springer
Most game programs have a large number of parameters that are crucial for their performance. Tuning these parameters by hand is rather difficult. Therefore automatic optimization a...
KES
2010
Springer
13 years 6 months ago
2010
Springer
This paper proposes a new solution to the vehicle routing problem with time windows using an evolution strategy adopting viral infection. The problem belongs to the NP-hard class a...
ICANNGA
2009
Springer
13 years 11 months ago
2009
Springer
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
WAIFI
2010
Springer
14 years 22 days ago
2010
Springer
In the 1990s and early 2000s several papers investigated the relative merits of polynomial-basis and normal-basis computations for F2n . Even for particularly squaring-friendly app...