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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 1 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
MOBICOM
2009
ACM
16 years 1 months ago
Impact of mobility on spectrum sensing in cognitive radio networks
In cognitive radio networks (CRNs), spectrum sensing is key to opportunistic spectrum access while preventing any unacceptable interference to primary users’ communications. Alt...
Alexander W. Min, Kang G. Shin
SIGECOM
2009
ACM
216views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Approximate mechanism design without money
The literature on algorithmic mechanism design is mostly concerned with game-theoretic versions of optimization problems to which standard economic money-based mechanisms cannot b...
Ariel D. Procaccia, Moshe Tennenholtz
CCGRID
2008
IEEE
16 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
16 years 1 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
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