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» Algebraic Methods for Optimization Problems
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WSC
2008
15 years 4 months ago
A particle filtering framework for randomized optimization algorithms
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
ICASSP
2011
IEEE
14 years 6 months ago
Reduced-hardware digital filter design via joint quantization and multiple constant multiplication optimization
The focus of this paper is to provide a framework for the joint optimization of both the coefficient quantization and multiple constant multiplication (MCM) problems. It is known...
Matthew B. Gately, Mark B. Yeary, Choon Yik Tang
112
Voted
EPS
1995
Springer
15 years 6 months ago
Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems
An extension of the evolution strategy for mixed-integer optimizationproblems is introduced. The resulting generalized evolution strategy is applied to the problem of optical mult...
Thomas Bäck, Martin Schütz
TNN
2008
93views more  TNN 2008»
15 years 2 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
142
Voted
PPSN
2004
Springer
15 years 7 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...