144 search results - page 1 / 29 » Training approaches in neural enhancement for multiobjective... |
ACMSE
2008
ACM
13 years 6 months ago
2008
ACM
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
AUSAI
2001
Springer
13 years 8 months ago
2001
Springer
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
ICANN
2010
Springer
13 years 2 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...