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EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 12 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 7 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
JCNS
2011
61views more  JCNS 2011»
15 years 1 months ago
Automating the design of informative sequences of sensory stimuli
Adaptive stimulus design methods can potentially improve the efficiency of sensory neurophysiology experiments significantly; however, designing optimal stimulus sequences in re...
Jeremy Lewi, David M. Schneider, Sarah M. N. Wooll...
JMLR
2010
128views more  JMLR 2010»
15 years 1 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
INFOCOM
2012
IEEE
13 years 9 months ago
Resource allocation for heterogeneous multiuser OFDM-based cognitive radio networks with imperfect spectrum sensing
—In this paper we study the resource allocation in OFDM-based cognitive radio (CR) networks, under the consideration of many practical limitations such as imperfect spectrum sens...
Shaowei Wang, Zhi-Hua Zhou, Mengyao Ge, Chonggang ...