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» On the Complexity of Exclusion Algorithms for Optimization
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174
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NIPS
2007
15 years 8 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 10 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
141
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RAS
2006
92views more  RAS 2006»
15 years 6 months ago
Trajectory generation and control for four wheeled omnidirectional vehicles
This paper describes an algorithm to calculate near-optimal minimum time trajectories for four wheeled omnidirectional vehicles, which can be used as part of a high-level path pla...
Oliver Purwin, Raffaello D'Andrea
ISPA
2005
Springer
16 years 5 days ago
Near Optimal Routing in a Small-World Network with Augmented Local Awareness
In order to investigate the routing aspects of small-world networks, Kleinberg [13] proposes a network model based on a d-dimensional lattice with long-range links chosen at random...
Jianyang Zeng, Wen-Jing Hsu, Jiangdian Wang
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 10 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg