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» Robust Solutions in Unstable Optimization Problems
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ATMOS
2007
138views Optimization» more  ATMOS 2007»
13 years 10 months ago
A new concept of robustness
In this paper a new concept of robustness is introduced and the corresponding optimization problem is stated. This new concept is applied to transportation network designs in which...
Ricardo García, Ángel Marín, ...
AAAI
2006
13 years 10 months ago
Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
Janae N. Foss
CPAIOR
2004
Springer
14 years 2 months ago
Super Solutions in Constraint Programming
To improve solution robustness, we introduce the concept of super solutions to constraint programming. An (a, b)-super solution is one in which if a variables lose their values, th...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
14 years 7 days ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
TWC
2008
145views more  TWC 2008»
13 years 8 months ago
Robust Optimization Models for Energy-Limited Wireless Sensor Networks under Distance Uncertainty
The distance between nodes in a wireless sensor network (WSN) is an important factor in the performance that can be extracted from the network for many tasks. However, the distanc...
Wei Ye, Fernando Ordóñez