52 search results - page 2 / 11 » A discrete-time neural network for optimization problems wit... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
CP
2009
Springer
13 years 11 months ago
2009
Springer
In this paper we present a hybrid model for the demand acceptance variant of the routing and wavelength assignment problem in directed networks, an important benchmark problem in o...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...