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GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
14 years 1 months ago
A Non-Linear Schema Theorem for Genetic Algorithms
We generalize Holland's Schema Theorem to the setting that genes are arranged, not necessarily in a linear sequence, but as the nodes in a connected graph. We have experiment...
William A. Greene
SIAMSC
2008
106views more  SIAMSC 2008»
13 years 10 months ago
Multilevel Linear Sampling Method for Inverse Scattering Problems
A novel multilevel algorithm is presented for implementing the widely used linear sampling method in inverse obstacle scattering problems. The new method is shown to possess asympt...
Jingzhi Li, Hongyu Liu, Jun Zou
MOC
2000
83views more  MOC 2000»
13 years 9 months ago
On the problem of spurious eigenvalues in the approximation of linear elliptic problems in mixed form
In the approximation of linear elliptic operators in mixed form, it is well known that the so-called inf-sup and ellipticity in the kernel properties are sufficient (and, in a sens...
Daniele Boffi, Franco Brezzi, Lucia Gastaldi
PC
2011
314views Management» more  PC 2011»
13 years 5 months ago
Restart strategies in optimization: parallel and serial cases
This paper addresses the problem of minimizing the average running time of the Las Vegas type algorithm, both in serial and parallel setups. The necessary conditions for the exist...
Oleg V. Shylo, Timothy Middelkoop, Panos M. Pardal...
JMLR
2006
92views more  JMLR 2006»
13 years 10 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...