928 search results - page 127 / 186 » Evolutionary algorithms and matroid optimization problems |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
ASUNAM
2010
IEEE
13 years 6 months ago
2010
IEEE
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Evolutionary algorithms applied to dynamic optimization problems has become a promising research area. So far, all papers in the area have assumed that the environment changes only...