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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 12 months ago
Evolution of Goal-Directed Behavior from Limited Information in a Complex Environment
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
Matthew R. Glickman, Katia P. Sycara
IPOM
2005
Springer
14 years 1 months ago
Discovering Topologies at Router Level
—Measurement and monitoring of network topologies are essential tasks in current network scenarios. Indeed, due to their utility in planning, management, security, and reliabilit...
Donato Emma, Antonio Pescapè, Giorgio Ventr...
SIGMETRICS
2011
ACM
229views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Model-driven optimization of opportunistic routing
Opportunistic routing aims to improve wireless performance by exploiting communication opportunities arising by chance. A key challenge in opportunistic routing is how to achieve ...
Eric Rozner, Mi Kyung Han, Lili Qiu, Yin Zhang
EUROPAR
2004
Springer
14 years 29 days ago
Implementing MPI on the BlueGene/L Supercomputer
The BlueGene/L supercomputer will consist of 65,536 dual-processor compute nodes interconnected by two high-speed networks: a three-dimensional torus network and a tree topology ne...
George Almási, Charles Archer, José ...
CN
2011
127views more  CN 2011»
13 years 2 months ago
A game theoretic analysis of network design with socially-aware users
In many scenarios network design is not enforced by a central authority, but arises from the interactions of several self-interested agents. This is the case of the Internet, wher...
Jocelyne Elias, Fabio Martignon, Konstantin Avrach...