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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
SAINT
2008
IEEE
15 years 11 months ago
Accuracy-Based Cache Consistency Management for Numerical Object Replication
Object replication and cache consistency have been one of major design issues in the recent Internet applications. In this paper, we forcus on accuracy-aware applications (i.e., s...
Hideya Ochiai, Hiroshi Esaki
PIMRC
2008
IEEE
15 years 11 months ago
Concurrent and parallel transmissions are optimal for low data-rate IR-UWB networks
— The Internet of Things, emerging pervasive and sensor networks are low data-rate wireless networks with, a priori, no specific topology and no fixed infrastructure. Their pri...
Jean-Yves Le Boudec, Ruben Merz
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 11 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
140
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FGIT
2009
Springer
15 years 11 months ago
AGILE Rate Control for IEEE 802.11 Networks
We present a transmission rate adaptation algorithm called AGILE (ACK-Guided Immediate Link rate Estimation) for IEEE 802.11 networks. The key idea of AGILE is that the transmitter...
Lochan Verma, Seongkwan Kim, Sunghyun Choi, Sung-J...