928 search results - page 64 / 186 » Evolutionary algorithms and matroid optimization problems |
EMO
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...