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» Backbones in Optimization and Approximation
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GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
16 years 20 days ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
ICANN
2007
Springer
16 years 20 days ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
RSKT
2007
Springer
16 years 18 days ago
Optimized Generalized Decision in Dominance-Based Rough Set Approach
Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance princ...
Krzysztof Dembczynski, Salvatore Greco, Wojciech K...
GLOBECOM
2006
IEEE
16 years 16 days ago
Optimization on Hybrid Channel Assignment for Multi-channel Multi-radio Wireless Mesh Networks
The emergence of multi-channel multi-radio wireless mesh networks has given us many new opportunities and challenges. Particularly, the issue on how to appropriately assign channel...
Andy An-Kai Jeng, Rong-Hong Jan
DMSN
2004
ACM
15 years 12 months ago
Optimization of in-network data reduction
We consider the in-network computation of approximate “big picture” summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavele...
Joseph M. Hellerstein, Wei Wang