744 search results - page 3 / 149 » Parallelization of Multi-objective Evolutionary Algorithms U... |
EMO
2006
Springer
13 years 11 months ago
2006
Springer
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
ICDAR
2003
IEEE
14 years 27 days ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
EMO
2006
Springer
13 years 11 months ago
2006
Springer
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
HIS
2007
13 years 9 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
ADMA
2009
Springer
14 years 2 months ago
2009
Springer
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...