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112
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 9 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
124
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AMCS
2010
146views Mathematics» more  AMCS 2010»
15 years 3 months ago
Sensor network design for the estimation of spatially distributed processes
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Dariusz Ucinski, Maciej Patan
146
Voted
TCS
2010
15 years 2 months ago
Clustering with partial information
The Correlation Clustering problem, also known as the Cluster Editing problem, seeks to edit a given graph by adding and deleting edges to obtain a collection of disconnected cliq...
Hans L. Bodlaender, Michael R. Fellows, Pinar Hegg...
93
Voted
DATE
2002
IEEE
96views Hardware» more  DATE 2002»
15 years 8 months ago
A Linear-Centric Simulation Framework for Parametric Fluctuations
The relative tolerances for interconnect and device parameter variations have not scaled with feature sizes which have brought about significant performance variability. As we sca...
Emrah Acar, Sani R. Nassif, Lawrence T. Pileggi
109
Voted
AAAI
2006
15 years 5 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...