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» Simulation Optimization: Methods and Applications
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CORR
2008
Springer
133views Education» more  CORR 2008»
15 years 5 months ago
Estimating divergence functionals and the likelihood ratio by convex risk minimization
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
IDA
2008
Springer
15 years 5 months ago
A comprehensive analysis of hyper-heuristics
Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory pro...
Ender Özcan, Burak Bilgin, Emin Erkan Korkmaz
148
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JMLR
2006
105views more  JMLR 2006»
15 years 4 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
DAGSTUHL
2010
15 years 6 months ago
Generalized Swap Operation for Tetrahedrizations
Mesh optimization of 2D and 3D triangulations is used in multiple applications extensively. For example, mesh optimization is crucial in the context of adaptively discretizing geo...
Burkhard Lehner, Bernd Hamann, Georg Umlauf
GECCO
2003
Springer
15 years 10 months ago
Coevolutionary Convergence to Global Optima
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is...
Lothar M. Schmitt