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AIPS
2006
13 years 10 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
WIOPT
2010
IEEE
13 years 7 months ago
Detecting events in the dynamics of ego-centered measurements of the internet topology
—Detecting events such as major routing changes or congestions in the dynamics of the internet topology is an important but challenging task. We explore here a top-down approach ...
Assia Hamzaoui, Matthieu Latapy, Clémence M...
SYNASC
2005
IEEE
133views Algorithms» more  SYNASC 2005»
14 years 2 months ago
Emotional Ant Based Modeling of Crowd Dynamics
It is known that one of the most disastrous forms of collective human behavior is the kind of crowd stampede induced by panic. This situation often leads to fatalities as people a...
Soumya Banerjee, Crina Grosan, Ajith Abraham
GECCO
2003
Springer
14 years 2 months ago
Understanding EA Dynamics via Population Fitness Distributions
It is clear from the study of complex non-linear systems in general, and evolutionary algorithms (EAs) in particular, that there is no single analysis tool or technique capable of ...
Elena Popovici, Kenneth A. De Jong
IATA
1998
Springer
14 years 1 months ago
A Dynamic Hierarchy of Intelligent Agents for Network Management
Routing as well as the management of communicationnetworks that support hybrid types of communications requiring quality of service is a very hard problem. We present here a frame...
Christian Frei, Boi Faltings