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ISCA
2008
IEEE
137views Hardware» more  ISCA 2008»
14 years 4 months ago
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...
Engin Ipek, Onur Mutlu, José F. Martí...
CIIA
2009
13 years 11 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
JSAC
2010
135views more  JSAC 2010»
13 years 8 months ago
Provisioning mission-critical telerobotic control systems over internet backbone networks with essentially-perfect QoS
—Over the next decades, the Internet will evolve to support increasingly complex mission-critical services such as telerobotically controlled surgery. The world’s first telero...
T. H. Szymanski, D. Gilbert
CEC
2010
IEEE
13 years 11 months ago
Linear antenna array synthesis using fitness-adaptive differential evolution algorithm
-- Design of non-uniform linear antenna arrays is one of the most important electromagnetic optimization problems of current interest. In this article, an adaptive Differential Evo...
Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagat...
CEC
2007
IEEE
14 years 4 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers