118 search results - page 16 / 24 » Viewing Scheduling Problems through Genetic and Evolutionary... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
DMIN
2006
13 years 9 months ago
2006
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
EPS
1997
Springer
13 years 11 months ago
1997
Springer
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
EC
2000
13 years 7 months ago
2000
To successfully apply evolutionary algorithms to the solution of increasingly complex problems, we must develop effective techniques for evolving solutions in the form of interact...