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» Terminating Decision Algorithms Optimally
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126
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HASE
2002
IEEE
15 years 8 months ago
On Decentralized Proactive Resource Allocation in Asynchronous Real-Time Distributed Systems
We present two classes of distributed algorithms called DRBA and DOBA, for decentralized, proactive resource allocation in asynchronous real-time distributed systems. The objectiv...
Tamir Hegazy, Binoy Ravindran
RTSS
2005
IEEE
15 years 9 months ago
Voltage Scaling Scheduling for Periodic Real-Time Tasks in Reward Maximization
— This paper is interested in reward maximization of periodic real-time tasks under a given energy constraint, where the reward received depends on how much computation a task ru...
Jian-Jia Chen, Tei-Wei Kuo
TEC
2010
120views more  TEC 2010»
14 years 10 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett
148
Voted
ICML
1996
IEEE
15 years 7 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
MP
2006
123views more  MP 2006»
15 years 3 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...