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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 11 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
BMCBI
2011
12 years 8 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
BMCBI
2005
157views more  BMCBI 2005»
13 years 5 months ago
Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method
Background: Systematic evaluation and study of single nucleotide polymorphisms (SNPs) made possible by high throughput genotyping technologies and bioinformatics promises to provi...
Qian Xie, Luke D. Ratnasinghe, Huixiao Hong, Roger...
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
13 years 8 months ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...
KES
1999
Springer
13 years 9 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli