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» Genetic algorithms using low-discrepancy sequences
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GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 11 months ago
A data-based coding of candidate strings in the closest string problem
Given a set of strings S of equal lengths over an alphabet Σ, the closest string problem seeks a string over Σ whose maximum Hamming distance to any of the given strings is as s...
Bryant A. Julstrom
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
BMCBI
2011
14 years 10 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
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 7 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
IVC
2002
148views more  IVC 2002»
15 years 6 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle