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WSC
2001
15 years 6 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
AAAI
1998
15 years 6 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore
WSC
1997
15 years 6 months ago
Comparison of Monte Carlo and Deterministic Methods for Non-Adaptive Optimization
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
Hisham A. Al-Mharmah, James M. Calvin
AUTOMATICA
2007
84views more  AUTOMATICA 2007»
15 years 5 months ago
Nonsmooth optimization for multiband frequency domain control design
Multiband frequency domain synthesis consists in the minimization of a finite family of closed-loop transfer functions on prescribed frequency intervals. This is an algorithmical...
Pierre Apkarian, Dominikus Noll
ACL
2009
15 years 2 months ago
Optimizing Word Alignment Combination For Phrase Table Training
Combining word alignments trained in two translation directions has mostly relied on heuristics that are not directly motivated by intended applications. We propose a novel method...
Yonggang Deng, Bowen Zhou