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ICDE
2009
IEEE
157views Database» more  ICDE 2009»
15 years 11 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
ISIPTA
2003
IEEE
140views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability
A second-order hierarchical uncertainty model of a system of independent random variables is studied in the paper. It is shown that the complex nonlinear optimization problem for ...
Lev V. Utkin
CEC
2009
IEEE
15 years 1 months ago
A dynamic artificial immune algorithm applied to challenging benchmarking problems
Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Fabrício Olivetti de França, Fernand...
MOR
2006
95views more  MOR 2006»
14 years 9 months ago
An Efficient Interior-Point Method for Convex Multicriteria Optimization Problems
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
Jörg Fliege
SIAMCO
2002
121views more  SIAMCO 2002»
14 years 9 months ago
Consistent Approximations and Approximate Functions and Gradients in Optimal Control
As shown in [7], optimal control problems with either ODE or PDE dynamics can be solved efficiently using a setting of consistent approximations obtained by numerical discretizati...
Olivier Pironneau, Elijah Polak