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» On the practical genetic algorithms
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PPSN
2004
Springer
16 years 14 hour ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
ISBRA
2009
Springer
16 years 1 months ago
A Linear-Time Algorithm for Analyzing Array CGH Data Using Log Ratio Triangulation
Abstract. DNA copy number is the number of replicates of a contiguous segment of DNA on the genome. Copy number alteration (CNA) is a genetic abnormality in which the number of the...
Matthew Hayes, Jing Li
IWINAC
2005
Springer
16 years 5 days ago
GA-Selection Revisited from an ES-Driven Point of View
Whereas the selection concept of Genetic Algorithms (GAs) and Genetic Programming (GP) is basically realized by the selection of above-average parents for reproduction, Evolution S...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
SEAL
1998
Springer
15 years 11 months ago
Automating Space Allocation in Higher Education
The allocation of office space in any large institution is usually a problematical issue, which often demands a substantial amount of time to perform manually. The result of this a...
Edmund K. Burke, D. B. Varley
ISCI
2008
137views more  ISCI 2008»
15 years 6 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba