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AIR
2005
130views more  AIR 2005»
13 years 7 months ago
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynam...
Andrew J. Page, Thomas J. Naughton
ICPR
2008
IEEE
14 years 8 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
JCP
2007
126views more  JCP 2007»
13 years 7 months ago
ADE: Utility Driven Self-management in a Networked Environment
ADE, autonomic distributed environment, is a system which engages autonomic elements to automatically take an existing centralized application and distribute it across available re...
Debzani Deb, M. Muztaba Fuad, Michael J. Oudshoorn
NECO
2008
114views more  NECO 2008»
13 years 7 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
GECCO
2004
Springer
327views Optimization» more  GECCO 2004»
14 years 1 months ago
Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
Inspired by the efficient method of locomotion of the rattlesnake Crotalus cerastes, the objective of this work is automatic design through genetic programming, of the fastest poss...
Ivan Tanev, Thomas S. Ray, Andrzej Buller