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» An Algorithmic Chemistry for Genetic Programming
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CEC
2010
IEEE
14 years 9 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
15 years 27 days ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
ICPPW
2002
IEEE
15 years 4 months ago
Near-Optimal Loop Tiling by Means of Cache Miss Equations and Genetic Algorithms
The effectiveness of the memory hierarchy is critical for the performance of current processors. The performance of the memory hierarchy can be improved by means of program transf...
Jaume Abella, Antonio González, Josep Llosa...
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 5 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 6 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai