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» A New Parallel Genetic Algorithm
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GECCO
2003
Springer
141views Optimization» more  GECCO 2003»
15 years 3 months ago
Finding the Optimal Gene Order in Displaying Microarray Data
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon
GECCO
2006
Springer
262views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetically programmed strategies for chess endgame
Classical chess engines exhaustively explore moving possibilities from a chessboard configuration to choose what the next best move to play is. In this article we present a new me...
Nicolas Lassabe, Stéphane Sanchez, Herv&eac...
CRYPTO
2010
Springer
110views Cryptology» more  CRYPTO 2010»
14 years 11 months ago
An Efficient and Parallel Gaussian Sampler for Lattices
At the heart of many recent lattice-based cryptographic schemes is a polynomial-time algorithm that, given a `high-quality' basis, generates a lattice point according to a Ga...
Chris Peikert
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
ICS
1993
Tsinghua U.
15 years 2 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...