78 search results - page 11 / 16 » Diversity Maximization Approach for Multiobjective Optimizat... |
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Multiuser diversity (MUDiv) is one of the central concepts in multiuser (MU) systems. In particular, MUDiv allows for scheduling among users in order to eliminate the negative effe...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions...
CEC
2011
IEEE
12 years 7 months ago
2011
IEEE
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...