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GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 7 months ago
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm
Given the prominence of elite archiving in contemporary multiobjective optimisation research and the limitations inherent in bounded population sizes, it is unusual that the vast ...
Adam Berry, Peter Vamplew
122
Voted
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 7 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
138
Voted
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 7 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter
AFRIGRAPH
2001
ACM
15 years 7 months ago
A gesture processing framework for multimodal interaction in virtual reality
This article presents a gesture detection and analysis framework for modelling multimodal interactions. It is particulary designed for its use in Virtual Reality (VR) applications...
Marc Erich Latoschik