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ISNN
2010
Springer
13 years 6 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
APPROX
2009
Springer
96views Algorithms» more  APPROX 2009»
14 years 2 months ago
On the Optimality of Gluing over Scales
We show that for every α > 0, there exist n-point metric spaces (X, d) where every “scale” admits a Euclidean embedding with distortion at most α, but the whole space req...
Alexander Jaffe, James R. Lee, Mohammad Moharrami
IMC
2007
ACM
13 years 9 months ago
Usage-based dhcp lease time optimization
The Dynamic Host Configuration Protocol (DHCP) is used to dynamically allocate address space to hosts on a local area network. Despite its widespread usage, few studies exist on ...
Manas Khadilkar, Nick Feamster, Matt Sanders, Russ...
CEC
2008
IEEE
14 years 2 months ago
Geometric PSO + GP = Particle Swarm Programming
—Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both conti...
Julian Togelius, Renzo De Nardi, Alberto Moraglio
ESA
2011
Springer
269views Algorithms» more  ESA 2011»
12 years 7 months ago
Alphabet-Independent Compressed Text Indexing
Self-indexes can represent a text in asymptotically optimal space under the k-th order entropy model, give access to text substrings, and support indexed pattern searches. Their ti...
Djamal Belazzougui, Gonzalo Navarro