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» Adaptive critics for dynamic optimization
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GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 9 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
CIIA
2009
15 years 5 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
128
Voted
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
15 years 11 months ago
Joint Source Coding and Data Rate Adaptation for Multi-User Wireless Video Transmission
Much attention has been paid to the problem of optimally utilizing resources such as spectrum, power and time in order to achieve the best video delivery quality in wireless commu...
Fan Zhai, Zhu Li, Aggelos K. Katsaggelos
152
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TPDS
2008
93views more  TPDS 2008»
15 years 4 months ago
Evaluating Dynamic Task Mapping in Network Processor Runtime Systems
Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications ...
Xin Huang, Tilman Wolf
ECML
2006
Springer
15 years 8 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi