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» Evolving by Maximizing the Number of Rules: Complexity Study
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MEMBRANE
2009
Springer
13 years 12 months ago
Evolving by Maximizing the Number of Rules: Complexity Study
Oana Agrigoroaiei, Gabriel Ciobanu, Andreas Resios
INFOCOM
2012
IEEE
11 years 7 months ago
Maximizing system throughput by cooperative sensing in Cognitive Radio Networks
—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the ...
Shuang Li, Zizhan Zheng, Eylem Ekici, Ness B. Shro...
INFOCOM
2009
IEEE
14 years 1 hour ago
Distributed Storage Management of Evolving Files in Delay Tolerant Ad Hoc Networks
— This work focuses on a class of distributed storage systems whose content may evolve over time. Each component or node of the storage system is mobile and the set of all nodes ...
Eitan Altaian, Philippe Nain, Jean-Claude Bermond
ECAL
2001
Springer
13 years 9 months ago
Evolving Multi-agent Networks in Structured Environments
A crucial feature of evolving natural systems is parallelism. The simultaneous and distributed application of rules (governed by e.g. biochemistry) is generally considered as the p...
Thomas Glotzmann, Holger Lange, Michael Hauhs, A. ...
JUCS
2010
130views more  JUCS 2010»
13 years 3 months ago
On the Linear Number of Matching Substrings
Abstract: We study the number of matching substrings in the pattern matching problem. In general, there can be a quadratic number of matching substrings in the size of a given text...
Yo-Sub Han