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EVOW
2006
Springer
15 years 10 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
PODS
2001
ACM
127views Database» more  PODS 2001»
16 years 7 months ago
Optimal Aggregation Algorithms for Middleware
Assume that each object in a database has m grades, or scores, one for each of m attributes. For example, an object can have a color grade, that tells how red it is, and a shape g...
Ronald Fagin, Amnon Lotem, Moni Naor
ICNC
2005
Springer
16 years 11 days ago
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
Lean Yu, Kin Keung Lai, Shouyang Wang
193
Voted
ICRA
1995
IEEE
122views Robotics» more  ICRA 1995»
15 years 10 months ago
Actuator Constraints in Optimal Motion Planning of Manipulators
The optimal motion generation problem is solved subject to various actuator constraints while the motion is constrained to an arbitrary path. The considered objective function is ...
Patrick Plédel, Yasmina Bestaoui
183
Voted
SODA
2003
ACM
119views Algorithms» more  SODA 2003»
15 years 8 months ago
Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk
We consider the problem of finding efficient trees to send information from k sources to a single sink in a network where information can be aggregated at intermediate nodes in t...
Ashish Goel, Deborah Estrin