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» Robust Solutions in Unstable Optimization Problems
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ECAI
2004
Springer
13 years 11 months ago
Robust Solutions for Constraint Satisfaction and Optimization
Super solutions are a mechanism to provide robustness to constraint programs [10]. They are solutions in which, if a small number of variables lose their values, we are guaranteed ...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh
ICNP
2005
IEEE
13 years 12 months ago
Landmark Guided Forwarding
In this paper we focus on the problems of maintaining Ad Hoc network connectivity in the presence of node mobility whilst providing globally efficient and robust routing. The com...
Menghow Lim, Adam Chesterfield, Jon Crowcroft, Jul...
NIPS
2008
13 years 7 months ago
Estimating Robust Query Models with Convex Optimization
Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user's original query with additional related words. Current algorithms for ...
Kevyn Collins-Thompson
ADAC
2010
105views more  ADAC 2010»
13 years 6 months ago
Inference for robust canonical variate analysis
We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
Stefan Van Aelst, Gert Willems
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
13 years 11 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute