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» Hybrid Optimizations: Which Optimization Algorithm to Use
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JSAC
2006
78views more  JSAC 2006»
15 years 3 months ago
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
Abstract--Although the capacity of multiple-input/multipleoutput (MIMO) broadcast channels (BCs) can be achieved by dirty paper coding (DPC), it is difficult to implement in practi...
Taesang Yoo, Andrea J. Goldsmith
ASYNC
2007
IEEE
132views Hardware» more  ASYNC 2007»
15 years 9 months ago
Area Optimizations for Dual-Rail Circuits Using Relative-Timing Analysis
Future deep sub-micron technologies will be characterized by large parametric variations, which could make asynchronous design an attractive solution for use on large scale. Howev...
Tiberiu Chelcea, Girish Venkataramani, Seth Copen ...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
CP
2005
Springer
15 years 8 months ago
On Solving Soft Temporal Constraints Using SAT Techniques
In this paper, we present an algorithm for finding utilitarian optimal solutions to Simple and Disjunctive Temporal Problems with Preferences (STPPs and DTPPs) based on Benders’...
Hossein M. Sheini, Bart Peintner, Karem A. Sakalla...
FLAIRS
1998
15 years 4 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous