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» On Benchmarking Stochastic Global Optimization Algorithms
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IJON
2000
105views more  IJON 2000»
13 years 7 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
CCE
2004
13 years 7 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
ECAI
2010
Springer
13 years 8 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
ASIAMS
2007
IEEE
14 years 2 months ago
Modified Line Search Method for Global Optimization
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
Crina Grosan, Ajith Abraham
CVPR
2012
IEEE
11 years 10 months ago
Globally optimal hand-eye calibration
This paper introduces simultaneous globally optimal hand-eye self-calibration in both its rotational and translational components. The main contributions are new feasibility tests...
Thomas Ruland, Tomás Pajdla, Lars Krüg...