1215 search results - page 41 / 243 » Application domain study of evolutionary algorithms in optim... |
EMO
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
ICANN
2007
Springer
14 years 3 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...
GECCO
2007
Springer
14 years 22 days ago
2007
Springer
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
AAAI
2008
13 years 11 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...