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GECCO
2005
Springer
177views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving next generation signal compression and reconstruction transforms via genetic algorithms
Ongoing research has established a new methodology for using genetic algorithms [2] to evolve forward and inverse transforms that significantly reduce quantization error in recons...
Frank W. Moore, Patrick Marshall
JAT
2006
84views more  JAT 2006»
14 years 9 months ago
Bivariate Lagrange interpolation at the Padua points: The generating curve approach
We give a simple, geometric and explicit construction of bivariate interpolation at certain points in a square (called Padua points), giving compact formulas for their fundamental...
Len Bos, Marco Caliari, Stefano De Marchi, Marco V...
SIAMJO
2010
83views more  SIAMJO 2010»
14 years 8 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
IMCSIT
2010
14 years 7 months ago
Efficient Portfolio Optimization with Conditional Value at Risk
The portfolio optimization problem is modeled as a mean-risk bicriteria optimization problem where the expected return is maximized and some (scalar) risk measure is minimized. In ...
Wlodzimierz Ogryczak, Tomasz Sliwinski
BMCBI
2011
14 years 4 months ago
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments
Background: As the canonical code is not universal, different theories about its origin and organization have appeared. The optimization or level of adaptation of the canonical ge...
Jose Santos, Ángel Monteagudo