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» Two Results About Optimization of Fuzzy Variable Functions
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EOR
2007
101views more  EOR 2007»
14 years 9 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
CIBCB
2007
IEEE
14 years 11 months ago
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms
—In metabolic engineering it is difficult to identify which set of genetic manipulations will result in a microbial strain that achieves a desired production goal, due to the co...
Miguel Rocha, José P. Pinto, Isabel Rocha, ...
FUZZIEEE
2007
IEEE
15 years 1 months ago
Genetic Fuzzy Systems applied to Online Job Scheduling
Abstract-- This paper presents a comparison of three different design concepts for Genetic Fuzzy systems. We apply a Symbiotic Evolution that uses the Michigan approach and two app...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
SIAMSC
2008
147views more  SIAMSC 2008»
14 years 9 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 1 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...