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GLOBECOM
2009
IEEE
15 years 8 months ago
Exploring Simulated Annealing and Graphical Models for Optimization in Cognitive Wireless Networks
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
Elena Meshkova, Janne Riihijärvi, Andreas Ach...
ATAL
2006
Springer
15 years 8 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 8 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
138
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SERVICES
2008
95views more  SERVICES 2008»
15 years 6 months ago
Multiobjective Optimization of SLA-Aware Service Composition
In Service Oriented Architecture, each application is ofgned as a set of abstract services, which defines its functions. A concrete service(s) is selected at runtime for tract ser...
Hiroshi Wada, Paskorn Champrasert, Junichi Suzuki,...
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 4 months ago
Optimally Sparse Frames
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
Peter G. Casazza, Andreas Heinecke, Felix Krahmer,...