116 search results - page 22 / 24 » Approximating the Pareto Front of Multi-criteria Optimizatio... |
GECCO
2009
Springer
14 years 2 days ago
2009
Springer
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
GECCO
2004
Springer
14 years 25 days ago
2004
Springer
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
COR
2010
13 years 7 months ago
2010
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
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...