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125
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IPSN
2010
Springer
15 years 10 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
138
Voted
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 9 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
147
Voted
CEC
2009
IEEE
15 years 8 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
145
Voted
MIA
2010
170views more  MIA 2010»
14 years 10 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
DAC
2007
ACM
16 years 4 months ago
SOC Test Architecture Optimization for Signal Integrity Faults on Core-External Interconnects
The test time for core-external interconnect shorts/opens is typically much less than that for core-internal logic. Therefore, prior work on test infrastructure design for core-ba...
Qiang Xu, Yubin Zhang, Krishnendu Chakrabarty