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» Solutions to Computational Problems Through Gene Assembly
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104
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IJCNN
2008
IEEE
15 years 7 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
109
Voted
SI3D
2009
ACM
15 years 7 months ago
Crowd patches: populating large-scale virtual environments for real-time applications
Populating virtual environments (VEs) with large crowds is a subject that has been tackled for several years. Solutions have been proposed to offer realistic trajectories as well ...
Barbara Yersin, Jonathan Maïm, Julien Pettr&e...
86
Voted
TROB
2008
112views more  TROB 2008»
15 years 16 days ago
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps
Abstract--This paper addresses the challenging problem of finding collision-free trajectories for many robots moving toward individual goals within a common environment. Most popul...
Mike Peasgood, Christopher M. Clark, John McPhee
109
Voted
PPL
2010
117views more  PPL 2010»
14 years 7 months ago
Neighborhood Structures for GPU-Based Local Search Algorithms
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
116
Voted
CHI
2005
ACM
16 years 1 months ago
Connecting with kids: so what's new?
From pre-schools to high schools, at home and in museums, the educational community has embraced the use of computers as a teaching tool. Yet many institutions will simply install...
Lori L. Scarlatos, Amy Bruckman, Allison Druin, Mi...