212 search results - page 2 / 43 » Optimal sampling of genetic algorithms on polynomial regress... |
NIPS
2008
13 years 6 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
EC
2002
13 years 5 months ago
2002
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
CEC
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...