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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
14 years 11 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
BIB
2008
141views more  BIB 2008»
14 years 10 months ago
Detecting short tandem repeats from genome data: opening the software black box
Short tandem repeats, specifically microsatellites, are widely used genetic markers, associated with human genetic diseases, and play an important role in various regulatory mecha...
Angelika Merkel, Neil Gemmell
IJISTA
2008
95views more  IJISTA 2008»
14 years 10 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
KES
2007
Springer
14 years 9 months ago
Experimental Analysis of the Aging Operator for Static and Dynamic Optimisation Problems
Abstract. This work presents an analysis of the static Aging operator for different evolutionary algorithms: two immunological algorithms (OptIA and Clonalg), a standard genetic a...
Mario Castrogiovanni, Giuseppe Nicosia, Rosario Ra...
CEC
2009
IEEE
15 years 4 months ago
Evolving novel image features using Genetic Programming-based image transforms
— In this paper, we use Genetic Programming (GP) to define a set of transforms on the space of greyscale images. The motivation is to allow an evolutionary algorithm means of tr...
Taras Kowaliw, Wolfgang Banzhaf, Nawwaf N. Kharma,...