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INFOCOM
2005
IEEE
14 years 3 months ago
Power control for OSNR optimization in optical networks: a distributed algorithm via a central cost approach
— This paper addresses the problem of optical signal-to-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general multi-lin...
L. Pavel
WABI
2005
Springer
117views Bioinformatics» more  WABI 2005»
14 years 3 months ago
Faster Algorithms for Optimal Multiple Sequence Alignment Based on Pairwise Comparisons
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular biology. The running time of the best known scheme for finding an optimal ali...
Pankaj K. Agarwal, Yonatan Bilu, Rachel Kolodny
MICAI
2004
Springer
14 years 3 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
14 years 2 months ago
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
This paper presents results of the BBOB-2009 benchmarking of 31 search algorithms on 24 noiseless functions in a black-box optimization scenario in continuous domain. The runtime ...
Nikolaus Hansen, Anne Auger, Raymond Ros, Steffen ...
FSTTCS
2006
Springer
14 years 1 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys