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MP
2006
103views more  MP 2006»
13 years 9 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
PPSN
2004
Springer
14 years 2 months ago
Optimising the Performance of a Formula One Car Using a Genetic Algorithm
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
Krzysztof Wloch, Peter J. Bentley
ICML
1998
IEEE
14 years 10 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
GLOBECOM
2007
IEEE
14 years 3 months ago
Resource Allocation for Amplify-and-Forward Relay Networks with Differential Modulation
— The optimum resource allocation is an important method to improve the error performance and energy efficiency of wireless relay networks. In this paper, we consider the resour...
Woong Cho, Liuqing Yang
BMCBI
2011
13 years 22 days ago
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Juan R. González, Benjamin Rodriguez-Santia...