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CN
2002
98views more  CN 2002»
15 years 6 months ago
New models and algorithms for programmable networks
In todays IP networks most of the network control and management tasks are performed at the end points. As a result, many important network functions cannot be optimized due to la...
Danny Raz, Yuval Shavitt
IPSN
2010
Springer
16 years 1 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
CEC
2005
IEEE
16 years 2 days ago
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary alg
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy ...
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IJHIS
2006
94views more  IJHIS 2006»
15 years 6 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
DAGSTUHL
2007
15 years 8 months ago
Graph matching with type constraints on nodes and edges
Abstract. In this paper, we consider two particular problems of directed graph matching. The first problem concerns graphs with nodes that have been subdivided into classes of di...
Catherine Fraikin, Paul Van Dooren