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» Solving Demodulation as an Optimization Problem
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ESANN
2007
15 years 6 months ago
Ensemble neural classifier design for face recognition
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
Terry Windeatt
ANOR
2006
59views more  ANOR 2006»
15 years 4 months ago
The empirical behavior of sampling methods for stochastic programming
Abstract. We investigate the quality of solutions obtained from sample-average approximations to two-stage stochastic linear programs with recourse. We use a recently developed sof...
Jeff Linderoth, Alexander Shapiro, Stephen Wright
CCE
2006
15 years 4 months ago
Lagrangean decomposition using an improved Nelder-Mead approach for Lagrangean multiplier update
Lagrangean decomposition has been recognized as a promising approach for solving large-scale optimization problems. However, Lagrangean decomposition is critically dependent on th...
Dan Wu, Marianthi G. Ierapetritou
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 10 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
TON
2010
147views more  TON 2010»
15 years 3 months ago
Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
Tao Shu, Marwan Krunz