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» Seeding Genetic Programming Populations
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CEC
2010
IEEE
13 years 8 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman
BMCBI
2011
13 years 2 months ago
SNPPicker: High quality tag SNP selection across multiple populations
Background: Linkage Disequilibrium (LD) bin-tagging algorithms identify a reduced set of tag SNPs that can capture the genetic variation in a population without genotyping every s...
Hugues Sicotte, David N. Rider, Gregory A. Poland,...
BMCBI
2011
12 years 11 months ago
Inference of Chromosome-Specific Copy Numbers Using Population Haplotypes
Background: Using microarray and sequencing platforms, a large number of copy number variations (CNVs) have been identified in humans. In practice, because our human genome is a d...
Yao-Ting Huang, Min-Han Wu
NC
1998
138views Neural Networks» more  NC 1998»
13 years 9 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
ICES
2010
Springer
148views Hardware» more  ICES 2010»
13 years 5 months ago
An Efficient Selection Strategy for Digital Circuit Evolution
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that co...
Zbysek Gajda, Lukás Sekanina