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» A Genetic Algorithm Applied to the Maximum Flow Problem
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GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 11 months ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung
ATS
2001
IEEE
126views Hardware» more  ATS 2001»
13 years 11 months ago
Design of an Optimal Test Access Architecture Using a Genetic Algorithm
Test access is a major problem for core-based systemon-chip (SOC) designs. Since cores in an SOC are not directly accessible via chip inputs and outputs, special access mechanisms...
Zahra Sadat Ebadi, André Ivanov
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 13 days ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
VLDB
2005
ACM
86views Database» more  VLDB 2005»
14 years 1 months ago
One-Pass Wavelet Synopses for Maximum-Error Metrics
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Panagiotis Karras, Nikos Mamoulis
BMCBI
2010
178views more  BMCBI 2010»
13 years 7 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...