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BMCBI
2006
146views more  BMCBI 2006»
14 years 11 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
NIPS
1993
15 years 23 days ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
ADCM
2007
88views more  ADCM 2007»
14 years 11 months ago
Discrete variational integrators and optimal control theory
A geometric derivation of numerical integrators for optimal control problems is proposed. It is based in the classical technique of generating functions adapted to the special fea...
Manuel de León, David Martín de Dieg...
ORL
2006
65views more  ORL 2006»
14 years 11 months ago
Solving asymmetric variational inequalities via convex optimization
Using duality, we reformulate the asymmetric variational inequality (VI) problem over a conic region as an optimization problem. We give sufficient conditions for the convexity of...
Michele Aghassi, Dimitris Bertsimas, Georgia Perak...
ICAC
2007
IEEE
15 years 3 months ago
Evaluation of Optimization Methods for Network Bottleneck Diagnosis
We consider the problem of localizing network performance bottlenecks and evaluate how various optimization techniques developed for reconstructing link delays perform on this dec...
Alina Beygelzimer, Jeffrey O. Kephart, Irina Rish