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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 10 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
137
Voted
ICC
2007
IEEE
139views Communications» more  ICC 2007»
15 years 10 months ago
Optimal Power Allocation for Amplify-And-Forward Relay Networks via Conic Programming
— Relay power allocation has been shown to provide substantial performance gain in wireless relay channels when perfect global channel state information (CSI) is available. In th...
Tony Q. S. Quek, Moe Z. Win, Hyundong Shin, Marco ...
JMLR
2008
110views more  JMLR 2008»
15 years 3 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
120
Voted
INFOCOM
2003
IEEE
15 years 8 months ago
Distributed Network Monitoring with Bounded Link Utilization in IP Networks
— Designing optimal measurement infrastructure is a key step for network management. In this work we address the problem of optimizing a scalable distributed polling system. The ...
Erran L. Li, Marina Thottan, Bin Yao, Sanjoy Paul
CEC
2008
IEEE
15 years 10 months ago
An investigation on evolutionary gradient search for multi-objective optimization
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin ...