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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 10 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
JSSPP
1998
Springer
15 years 10 months ago
Improving First-Come-First-Serve Job Scheduling by Gang Scheduling
Abstract. We present a new scheduling method for batch jobs on massively parallel processor architectures. This method is based on the First
Uwe Schwiegelshohn, Ramin Yahyapour
COLING
2008
15 years 7 months ago
Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
Necip Fazil Ayan, Jing Zheng, Wen Wang
EUSFLAT
2003
124views Fuzzy Logic» more  EUSFLAT 2003»
15 years 7 months ago
A polymorphical mutation operator for evolution strategies
Since the advent of evolution strategies many attempts have been done to improve the mutation operator [7]. The first enhancement could be seen in the
Stefan Berlik
BMCBI
2008
98views more  BMCBI 2008»
15 years 6 months ago
Normalization of Illumina Infinium whole-genome SNP data improves copy number estimates and allelic intensity ratios
Background: Illumina Infinium whole genome genotyping (WGG) arrays are increasingly being applied in cancer genomics to study gene copy number alterations and allele-specific aber...
Johan Staaf, Johan Vallon-Christersson, David Lind...